An objectifying system for color inspections of traditional Chinese medicine （CITCM） is developed. The entire system includes two parts ： The hardware and the software. The hardware is an image acquiring device und...An objectifying system for color inspections of traditional Chinese medicine （CITCM） is developed. The entire system includes two parts ： The hardware and the software. The hardware is an image acquiring device under a standard lighting condition, and it mainly includes a xenon lamp with color temperature of 5 500 K as light source, an integrating sphere used for diffusing light and a high resolution CCD camera. The software is used for digital image processing, and the procedure is divided into three steps. Firstly the skin/non-skin classifi- cation is performed by utilizing the threshold in chrominance channels of the RGB color space. Secondly, the fa- cial features are localized by using the image segmentation and coordinates sorting. Finally, the facial special re- gion（SR） corresponding to five internal organs is achieved by utilizing masks designed to take advantage of mor- phology. Subsequently, the chromaticity is calculated. The system is tested by taking 83 samples of 30 young and 53 elderly people. The experiment shows that there is significant difference of all SRs between the young and the elderly, and the system has better performance for objectifying research of CITCM.展开更多
This paper addresses the issue of face and lip tracking via chromatic detector, CCL algorithm and canny edge detector. It aims to track face and lip region from static color images including frames read from videos, w...This paper addresses the issue of face and lip tracking via chromatic detector, CCL algorithm and canny edge detector. It aims to track face and lip region from static color images including frames read from videos, which is exPected to be an important part of the robust and reliable person identification in the field of computer forensics. We use the M2VTS face database and pictures took from my colleagues as the test resource. This project is based on the concept of image processing and computer version.展开更多
This paper presented an online quality inspection system based on artificial neural networks. Chromatism classification and edge detection are two difficult problems in glass steel surface quality inspection. Two arti...This paper presented an online quality inspection system based on artificial neural networks. Chromatism classification and edge detection are two difficult problems in glass steel surface quality inspection. Two artificial neural networks were made and the two problems were solved. The one solved chromatism classification. Hue, saturation and their probability of three colors, whose appearing probabilities were maximum in color histogram, were selected as input parameters, and the number of output node could be adjusted with the change of requirement. The other solved edge detection. In this neutral network, edge detection of gray scale image was able to be tested with trained neural networks for a binary image. It prevent the difficulty that the number of needed training samples was too large if gray scale images were directly regarded as training samples. This system is able to be applied to not only glass steel fault inspection but also other product online quality inspection and classification.展开更多
Microscopic halftone image recognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant s...Microscopic halftone image recognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant steps during the procedure. Automatic segmentation on microscopic dots by the aid of the Fuzzy C-Means (FCM) method that takes account of the fuzziness of halftone image and utilizes its color information adequately is realized. Then some examples show the technique effective and simple with better performance of noise immunity than some usual methods. In addition, the segmentation results obtained by the FCM in different color spaces are compared, which indicates that the method using the FCM in the f 1f 2f 3 color space is superior to the rest.展开更多
This paper studied on the removal of toxic substance from river water using O3-GAC process. The result of GC/MS analysis indicated that the number of organic compound species was decreased by 55.1%. The species of tox...This paper studied on the removal of toxic substance from river water using O3-GAC process. The result of GC/MS analysis indicated that the number of organic compound species was decreased by 55.1%. The species of toxic substance of raw water also decreased from 16 to 5. The total removal rate of CODMn andUV254 were 45%～72% and 60%～80% following O3-GAC treatment. It reflected that this process had a good effective on removing unsaturation organic which absorb UV and toxic organic containing nitrogen. The results of Ames test indicated that raw water had a relatively strong mutagicity on TA 98. The O3-GAC process had a good ability in removing mutagen in water. The effluent water’s mutagicity is minus. The results of the study indicated that the effluent of the O3-GAC process was meet the demand of drinking water.展开更多
In this study, the separation and purification of Cordyceps sinensis polysaccharides by AB-8 and D-280 macro porous ad- sorption resin were researched, the adsorption characters when AB-8 macro porous adsorption resin...In this study, the separation and purification of Cordyceps sinensis polysaccharides by AB-8 and D-280 macro porous ad- sorption resin were researched, the adsorption characters when AB-8 macro porous adsorption resin processed Cordyceps sinensis leachate were determined, and the eluent were bleaching treated by D-280 macro porous adsorption resin. The results showed that the concentration of 2.0mg/mL, pH = 6 at a flow rate of 0.8mL/min. The yielding amount of polysaccharides is 246.4mg, and after decolouring treatment, the final yield is 207.1 mg.展开更多
基金Supported by the Innovation Team Fund of Nanjing University of Aeronautics and Astronauticsthe Chinese Medical Association Research Project(S10)~~
文摘An objectifying system for color inspections of traditional Chinese medicine （CITCM） is developed. The entire system includes two parts ： The hardware and the software. The hardware is an image acquiring device under a standard lighting condition, and it mainly includes a xenon lamp with color temperature of 5 500 K as light source, an integrating sphere used for diffusing light and a high resolution CCD camera. The software is used for digital image processing, and the procedure is divided into three steps. Firstly the skin/non-skin classifi- cation is performed by utilizing the threshold in chrominance channels of the RGB color space. Secondly, the fa- cial features are localized by using the image segmentation and coordinates sorting. Finally, the facial special re- gion（SR） corresponding to five internal organs is achieved by utilizing masks designed to take advantage of mor- phology. Subsequently, the chromaticity is calculated. The system is tested by taking 83 samples of 30 young and 53 elderly people. The experiment shows that there is significant difference of all SRs between the young and the elderly, and the system has better performance for objectifying research of CITCM.
文摘This paper addresses the issue of face and lip tracking via chromatic detector, CCL algorithm and canny edge detector. It aims to track face and lip region from static color images including frames read from videos, which is exPected to be an important part of the robust and reliable person identification in the field of computer forensics. We use the M2VTS face database and pictures took from my colleagues as the test resource. This project is based on the concept of image processing and computer version.
基金Supported by Science and Technology Fundation (China University of Geosciences) (No.200520)
文摘This paper presented an online quality inspection system based on artificial neural networks. Chromatism classification and edge detection are two difficult problems in glass steel surface quality inspection. Two artificial neural networks were made and the two problems were solved. The one solved chromatism classification. Hue, saturation and their probability of three colors, whose appearing probabilities were maximum in color histogram, were selected as input parameters, and the number of output node could be adjusted with the change of requirement. The other solved edge detection. In this neutral network, edge detection of gray scale image was able to be tested with trained neural networks for a binary image. It prevent the difficulty that the number of needed training samples was too large if gray scale images were directly regarded as training samples. This system is able to be applied to not only glass steel fault inspection but also other product online quality inspection and classification.
文摘Microscopic halftone image recognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant steps during the procedure. Automatic segmentation on microscopic dots by the aid of the Fuzzy C-Means (FCM) method that takes account of the fuzziness of halftone image and utilizes its color information adequately is realized. Then some examples show the technique effective and simple with better performance of noise immunity than some usual methods. In addition, the segmentation results obtained by the FCM in different color spaces are compared, which indicates that the method using the FCM in the f 1f 2f 3 color space is superior to the rest.
文摘This paper studied on the removal of toxic substance from river water using O3-GAC process. The result of GC/MS analysis indicated that the number of organic compound species was decreased by 55.1%. The species of toxic substance of raw water also decreased from 16 to 5. The total removal rate of CODMn andUV254 were 45%～72% and 60%～80% following O3-GAC treatment. It reflected that this process had a good effective on removing unsaturation organic which absorb UV and toxic organic containing nitrogen. The results of Ames test indicated that raw water had a relatively strong mutagicity on TA 98. The O3-GAC process had a good ability in removing mutagen in water. The effluent water’s mutagicity is minus. The results of the study indicated that the effluent of the O3-GAC process was meet the demand of drinking water.
文摘In this study, the separation and purification of Cordyceps sinensis polysaccharides by AB-8 and D-280 macro porous ad- sorption resin were researched, the adsorption characters when AB-8 macro porous adsorption resin processed Cordyceps sinensis leachate were determined, and the eluent were bleaching treated by D-280 macro porous adsorption resin. The results showed that the concentration of 2.0mg/mL, pH = 6 at a flow rate of 0.8mL/min. The yielding amount of polysaccharides is 246.4mg, and after decolouring treatment, the final yield is 207.1 mg.
