An infrared real-time imaging system using DSP(digital signal processor) as the kernel of digital signal processing board is presented. In this system, the imaging difference and nonuniformity correction method is dev...An infrared real-time imaging system using DSP(digital signal processor) as the kernel of digital signal processing board is presented. In this system, the imaging difference and nonuniformity correction method is developed on the chip taking advantage of DSP with high speed. The method combines hardware and software together, so that the difficulty for realizing such a method with other hardware can be overcome.展开更多
OBJECTIVE To investigate the available parameters in gynecological screening for cervical lesions by liquid-based cytology technology （ThinPrep Cytology Test, TCT） and The Bethesda System （TBS）, also with computer...OBJECTIVE To investigate the available parameters in gynecological screening for cervical lesions by liquid-based cytology technology （ThinPrep Cytology Test, TCT） and The Bethesda System （TBS）, also with computer image analysis. METHODS With application of the image analysis system, all grades of cervical lesion cells were detected quantitatively and sorted in atypical squamous cells of undetermined significance （ASCUS）, atypical squamous cells-cannot exclude HSIL （ASC-H）, low-grade squamous intraepithelial lesion （LSIL）, high-grade squamous intraepithelial lesion （HSIL） and cervical squamous cell carcinoma （SCC） with the mean optical density （MOD）, average grey （AG）, positive units （PU）, and nucleus to cytoplasmic ratio （N： C）. Differences between each group of cells were compared and analyzed statistically. RESULTS Apart from four stereologic parameters in LSIL and HSIL groups there were no differences among them, in the other groups, there was statistically significant in differences between MOD, AG and PU values. Differences between them in the ratio of nucleus to cytoplasm were highly statistically significant. CONCLUSION Stereological indexes may serve as a screening tool for cervical lesions. The image analysis system is expected to become a new means of cytological assisted diagnosis.展开更多
A novel cast shadow detection approach was proposed.A stereo vision system was used to capture images instead of traditional single camera.It was based on an assumption that cast shadows were on a special plane.The im...A novel cast shadow detection approach was proposed.A stereo vision system was used to capture images instead of traditional single camera.It was based on an assumption that cast shadows were on a special plane.The image obtained from one camera was inversely projected to the plane and then transformed to the view from another camera.The points on the plane shared the same position between original image and the transformed image.As a result,the cast shadows can be detected.In order to improve the efficiency of cast shadow detection and decrease computational complexity,the obvious object areas in CIELAB color space were removed and the potential shadow areas were obtained.Experimental results demonstrate that the proposed approach can detect cast shadows accurately even under various illuminations.展开更多
A method and results of identification of wear debris using their morphological features are presented. The color images of wear debris were used as initial data. Each particle was characterized by a set of numerical ...A method and results of identification of wear debris using their morphological features are presented. The color images of wear debris were used as initial data. Each particle was characterized by a set of numerical parameters combined by its shape, color and surface texture features through a computer vision system. Those features were used as input vector of artificial neural network for wear debris identification. A radius basis function (RBF) network based model suitable for wear debris recognition was established, and its algorithm was presented in detail. Compared with traditional recognition methods, the RBF network model is faster in convergence, and higher in accuracy.展开更多
It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map...It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map. Along with the network,the development of communication and computer technology,especially with the Web2.0 technology arisen,provides opportunities to the web for sharing of geological maps. Web fast sharing platform of massive geological maps( WSPGM) is based on the Flex technology development,using B/S architecture,with map navigation,search,display,security and other functions of the software system. Through the map pretreatment and asynchronous communication the system can display any size of geological map,and through the range limits,rights management,sharing system and watermark logo to take effective security on geological map. On the basis of this system,with the Jilin University web sharing system of geological map,the system can greatly improve the efficiency of using geological map. for research.展开更多
Brain tumor is a major cause of an increased transient between children and adults. This article proposes an improved method based on magnetic resonance （MRI） brain imaging and image segmentation. Automated classifi...Brain tumor is a major cause of an increased transient between children and adults. This article proposes an improved method based on magnetic resonance （MRI） brain imaging and image segmentation. Automated classification is encouraged by the need for high accuracy in dealing with a human life. Detection of brain tumor is a challenging problem due to the high diversity in tumor appearance and ambiguous tumor boundaries. MRI images are chosen for the detection of brain tumors as they are used in the determination of soft tissues. First, image preprocessing is used to improve image quality. Second, the multi-scale decomposition of complex dual-wavelet tree transformations is used to analyze the texture of an image. Resource extraction draws resources from an image using gray-level co-occurrence matrix （GLCM）. Therefore, the neuro-fuzzy technique is used to classify brain tumor stages as benign, malignant, or normal based on texture characteristics. Finally, tumor location is detected using Otsu threshold. The performance of the classifier is evaluated on the basis of classification accuracies. The simulated results show that the proposed classifier provides better accuracy than the previous method.展开更多
This contribution deals with the process of creation of symbol libraries for emergency situations cartography. The libraries were created as a TrueType font files. Two symbol libraries were created. The first one is a...This contribution deals with the process of creation of symbol libraries for emergency situations cartography. The libraries were created as a TrueType font files. Two symbol libraries were created. The first one is a set of symbols for description of map orientation （compass roses and north arrows） with correct national （in this case Czech） description. The second one is a set of symbols for description of CBRN （chemical, biological, radiological, and nuclear） threats and another CBRN issues. The TrueType font files are used as symbol libraries in various ESRI products. The font libraries created in this form are easily transferable between various operating systems and GIS programs and also can be easily converted into various different vector graphics formats. The whole process of font creation has taken place under Linux environment. Fortunately main programs used in this process are multiplatform and could be used under Linux, MS Windows and other various computer operating was part of Ubuntu repository and it was obtained free of charge. systems. All software used during the process of font creation展开更多
The article presents multi-pattern formation exchange of mobile robots according to the image signals, programs motion paths using A＊ searching algorithm, and avoids the collision points of motion paths. The system c...The article presents multi-pattern formation exchange of mobile robots according to the image signals, programs motion paths using A＊ searching algorithm, and avoids the collision points of motion paths. The system contains an image system, a grid based motion platform, some wireless Radio Frequency （RF） modules and five mobile robots. We use image recognition algorithm to classify variety pattern formation according to variety Quick Response （QR） code symbols on the user interface of the supervised computer. The supervised computer controls five mobile robots to execute formation exchange and presents the movement scenario on the grid based motion platform. We have been developed some pattern formations according to game applications, such as long snake pattern formation, phalanx pattern formation, crane wing pattern formation, sword pattern formation, cone pattern formation, sward pattern tbrmation, T pattern formation, rectangle pattern formation and so on. We develop the user interface of the multi-robot system to program motion paths for variety pattern formation exchange according to the minimum displacement. In the experimental results, the supervised computer recognizes the various QR-code symbols using image system and decides which pattern formation to be selected on real-time. Mobile robots can receive the pattern formation command from the supervised computer, present the movement scenario from the original pattern formation to the assigned pattern formation on the motion platform, and avoid other mobile robots on real-time.展开更多
文摘An infrared real-time imaging system using DSP(digital signal processor) as the kernel of digital signal processing board is presented. In this system, the imaging difference and nonuniformity correction method is developed on the chip taking advantage of DSP with high speed. The method combines hardware and software together, so that the difficulty for realizing such a method with other hardware can be overcome.
基金This work was supported by a grant from the Natural Science Foundation of Nenan Province, China （No.102300410078）.
文摘OBJECTIVE To investigate the available parameters in gynecological screening for cervical lesions by liquid-based cytology technology （ThinPrep Cytology Test, TCT） and The Bethesda System （TBS）, also with computer image analysis. METHODS With application of the image analysis system, all grades of cervical lesion cells were detected quantitatively and sorted in atypical squamous cells of undetermined significance （ASCUS）, atypical squamous cells-cannot exclude HSIL （ASC-H）, low-grade squamous intraepithelial lesion （LSIL）, high-grade squamous intraepithelial lesion （HSIL） and cervical squamous cell carcinoma （SCC） with the mean optical density （MOD）, average grey （AG）, positive units （PU）, and nucleus to cytoplasmic ratio （N： C）. Differences between each group of cells were compared and analyzed statistically. RESULTS Apart from four stereologic parameters in LSIL and HSIL groups there were no differences among them, in the other groups, there was statistically significant in differences between MOD, AG and PU values. Differences between them in the ratio of nucleus to cytoplasm were highly statistically significant. CONCLUSION Stereological indexes may serve as a screening tool for cervical lesions. The image analysis system is expected to become a new means of cytological assisted diagnosis.
基金Project(40971219)supported by the Natural Science Foundation of ChinaProjects(201121202020005,T201221207)supported by the Fundamental Research Fund for the Central Universities,China
文摘A novel cast shadow detection approach was proposed.A stereo vision system was used to capture images instead of traditional single camera.It was based on an assumption that cast shadows were on a special plane.The image obtained from one camera was inversely projected to the plane and then transformed to the view from another camera.The points on the plane shared the same position between original image and the transformed image.As a result,the cast shadows can be detected.In order to improve the efficiency of cast shadow detection and decrease computational complexity,the obvious object areas in CIELAB color space were removed and the potential shadow areas were obtained.Experimental results demonstrate that the proposed approach can detect cast shadows accurately even under various illuminations.
文摘A method and results of identification of wear debris using their morphological features are presented. The color images of wear debris were used as initial data. Each particle was characterized by a set of numerical parameters combined by its shape, color and surface texture features through a computer vision system. Those features were used as input vector of artificial neural network for wear debris identification. A radius basis function (RBF) network based model suitable for wear debris recognition was established, and its algorithm was presented in detail. Compared with traditional recognition methods, the RBF network model is faster in convergence, and higher in accuracy.
文摘It is still a laborious work to consult massive multidisciplinary geological maps which are scattered in different geological departments,and hard to give full play to the potential application value of geological map. Along with the network,the development of communication and computer technology,especially with the Web2.0 technology arisen,provides opportunities to the web for sharing of geological maps. Web fast sharing platform of massive geological maps( WSPGM) is based on the Flex technology development,using B/S architecture,with map navigation,search,display,security and other functions of the software system. Through the map pretreatment and asynchronous communication the system can display any size of geological map,and through the range limits,rights management,sharing system and watermark logo to take effective security on geological map. On the basis of this system,with the Jilin University web sharing system of geological map,the system can greatly improve the efficiency of using geological map. for research.
文摘Brain tumor is a major cause of an increased transient between children and adults. This article proposes an improved method based on magnetic resonance （MRI） brain imaging and image segmentation. Automated classification is encouraged by the need for high accuracy in dealing with a human life. Detection of brain tumor is a challenging problem due to the high diversity in tumor appearance and ambiguous tumor boundaries. MRI images are chosen for the detection of brain tumors as they are used in the determination of soft tissues. First, image preprocessing is used to improve image quality. Second, the multi-scale decomposition of complex dual-wavelet tree transformations is used to analyze the texture of an image. Resource extraction draws resources from an image using gray-level co-occurrence matrix （GLCM）. Therefore, the neuro-fuzzy technique is used to classify brain tumor stages as benign, malignant, or normal based on texture characteristics. Finally, tumor location is detected using Otsu threshold. The performance of the classifier is evaluated on the basis of classification accuracies. The simulated results show that the proposed classifier provides better accuracy than the previous method.
文摘This contribution deals with the process of creation of symbol libraries for emergency situations cartography. The libraries were created as a TrueType font files. Two symbol libraries were created. The first one is a set of symbols for description of map orientation （compass roses and north arrows） with correct national （in this case Czech） description. The second one is a set of symbols for description of CBRN （chemical, biological, radiological, and nuclear） threats and another CBRN issues. The TrueType font files are used as symbol libraries in various ESRI products. The font libraries created in this form are easily transferable between various operating systems and GIS programs and also can be easily converted into various different vector graphics formats. The whole process of font creation has taken place under Linux environment. Fortunately main programs used in this process are multiplatform and could be used under Linux, MS Windows and other various computer operating was part of Ubuntu repository and it was obtained free of charge. systems. All software used during the process of font creation
文摘The article presents multi-pattern formation exchange of mobile robots according to the image signals, programs motion paths using A＊ searching algorithm, and avoids the collision points of motion paths. The system contains an image system, a grid based motion platform, some wireless Radio Frequency （RF） modules and five mobile robots. We use image recognition algorithm to classify variety pattern formation according to variety Quick Response （QR） code symbols on the user interface of the supervised computer. The supervised computer controls five mobile robots to execute formation exchange and presents the movement scenario on the grid based motion platform. We have been developed some pattern formations according to game applications, such as long snake pattern formation, phalanx pattern formation, crane wing pattern formation, sword pattern formation, cone pattern formation, sward pattern tbrmation, T pattern formation, rectangle pattern formation and so on. We develop the user interface of the multi-robot system to program motion paths for variety pattern formation exchange according to the minimum displacement. In the experimental results, the supervised computer recognizes the various QR-code symbols using image system and decides which pattern formation to be selected on real-time. Mobile robots can receive the pattern formation command from the supervised computer, present the movement scenario from the original pattern formation to the assigned pattern formation on the motion platform, and avoid other mobile robots on real-time.
