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图象密度测量与图象分析小型微机系统
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作者 钟永智 曾光才 《电视设备通讯》 1991年第1期105-108,共4页
关键词 图象密度 测量 心血管 微机
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三维物体识别中密度和距离图象数据的融合
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作者 苏开娜 《北京工业大学学报》 CAS CSCD 1995年第1期25-34,共10页
阐述了以实现机器人视觉为目的,基于规则的,通过对同时来自激光扫描测距装置的物体矩离图象数据及其密度图象数据进行融合,从而达到提高识别三维物体可靠性的一种方法,本文详细地介绍了在边缘检测及曲率分析两个层次上所进行的融合... 阐述了以实现机器人视觉为目的,基于规则的,通过对同时来自激光扫描测距装置的物体矩离图象数据及其密度图象数据进行融合,从而达到提高识别三维物体可靠性的一种方法,本文详细地介绍了在边缘检测及曲率分析两个层次上所进行的融合,具体包括边缘及其属性的提取,边缘属性一致性分析,曲率类型的猜测及分析等。 展开更多
关键词 密度数据 距离数据 融合 智能机器人
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映射的拓朴熵密度及其性质
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作者 李明军 梁华清 杨军强 《湘潭大学自然科学学报》 CAS CSCD 北大核心 2007年第2期1-5,共5页
在度量空间上,对于拓朴熵为无穷大的映射补充定义拓朴熵密度.相应地,得到拓朴熵密度密度的几个计算方法.同时,对于逆图象拓朴熵无穷大的映射,补充定义逆图象拓朴熵密度,一些已知的拓朴熵为无穷大拓朴熵无穷大的映射,可以给出有限的拓朴... 在度量空间上,对于拓朴熵为无穷大的映射补充定义拓朴熵密度.相应地,得到拓朴熵密度密度的几个计算方法.同时,对于逆图象拓朴熵无穷大的映射,补充定义逆图象拓朴熵密度,一些已知的拓朴熵为无穷大拓朴熵无穷大的映射,可以给出有限的拓朴熵密度. 展开更多
关键词 拓朴熵密度 拓朴熵密度 点熵密度
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Characteristics of rock fragments in different forest stony soil and its relationship with macropore characteristics in mountain area, northern China 被引量:5
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作者 MENG Chen NIU Jian-zhi +3 位作者 YIN Zheng-cong LUO Zi-teng LIN Xing-na JIA Jing-wei 《Journal of Mountain Science》 SCIE CSCD 2018年第3期519-531,共13页
Rock fragments have major effect on soil macropores and water movement. However, the characteristics of rock fragments and their relationship with macropore characteristics remain elusive in forest stony soils in nort... Rock fragments have major effect on soil macropores and water movement. However, the characteristics of rock fragments and their relationship with macropore characteristics remain elusive in forest stony soils in northern mountainous area of China. The objectives of this study are to(1) use Industrial Computed Tomography(CT) scanning to quantitatively analyze rock fragment characteristics in intact soil columns in different forest lands and(2) identify the relationship between characteristics of rock fragments and that of the macropores. Intact soil columns that were 100 mm in diameter and 300 mm long were randomly taken from six local forest stony soils in Wuzuolou Forest Station in Miyun, Beijing. Industrial CT was used to scan all soil column samples, and then the scanned images were utilized to obtain the three-dimensional(3 D) images of rock fragments and macropore structures. Next, theparameters of the rock fragments and macropore structure were measured, including the volume, diameter, surface area, and number of rock fragments, as well as the volume, diameter, surface area, length, angle, tortuosity and number of macropores. The results showed that no significant difference was found in soil rock fragments content in the 10-30 cm layer between mixed forest and pure forest, but in the 0-10 cm soil layer, the rock fragments in mixed forest were significantly less than in pure forest. The number density of macropores has significant negative correlation with the number of rock fragments in the 0-10 cm soil layer, whereas this correlation is not significant in 10-20 cm and 20-30 cm soil layers. The volume density of macropore was not correlated with the volume density of rock fragments, and there is no correlation between the density of macropore surface area and the density of rock fragment surface area. Industrial CT scanning combined with image processing technology canprovide a better way to explore 3 D distribution of rock fragments in soil. The content of rock fragments in soil is mainly determined by parent rocks. The surface soil(0-10 cm) of forest contains fewer rock fragments and more macropores, which may be caused by bioturbation, root systems, gravitational settling and faunal undermining. 展开更多
关键词 Rock fragment MACROPORE Forest stone soil Mountain area Industrial Computed Tomography
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Application of High-Density Seismic Image in Nondestructive Exploration of Cut-off Cement-Soil Wall in Earth Dam
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作者 蔡靖 王建华 张献民 《Transactions of Tianjin University》 EI CAS 2005年第2期141-145,共5页
In order to quickly explore the quality of cut-off wall in dams, a new method of high-density seismic image was adopted and estimated by model and in-situ wall tests.The vibration exciter was employed and several para... In order to quickly explore the quality of cut-off wall in dams, a new method of high-density seismic image was adopted and estimated by model and in-situ wall tests.The vibration exciter was employed and several parameters such as hypocentral distance, length of signal record and sampling space in signal collection were determined, which are 8 m, 0.25 ms and 128 ms respectively. Through time and frequency field signal analyses, it is concluded that, the smaller arrival times of reflected longitudinal and surface waves, and the higher their main frequencies, the higher the strength of the wall, vice versa. Accordingly the construction quality of the wall can be evaluated quickly by high-density seismic image. 展开更多
关键词 high-density seismic image cut-off wall nondestructive exploration signal collection
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SVM for density estimation and application to medical image segmentation
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作者 ZHANG Zhao ZHANG Su ZHANG Chen-xi CHEN Ya-zhu 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2006年第5期365-372,共8页
A method of medical image segmentation based on support vector machine (SVM) for density estimation is presented. We used this estimator to construct a prior model of the image intensity and curvature profile of the s... A method of medical image segmentation based on support vector machine (SVM) for density estimation is presented. We used this estimator to construct a prior model of the image intensity and curvature profile of the structure from training images. When segmenting a novel image similar to the training images, the technique of narrow level set method is used. The higher dimensional surface evolution metric is defined by the prior model instead of by energy minimization function. This method offers several advantages. First, SVM for density estimation is consistent and its solution is sparse. Second, compared to the traditional level set methods, this method incorporates shape information on the object to be segmented into the segmentation process. Segmentation results are demonstrated on synthetic images, MR images and ultrasonic images. 展开更多
关键词 Support vector machine (SVM) Density estimation Medical image segmentation Level set method
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Measuring Structural Parameters of Knitted Fabrics by Digital Image Processing Techniques
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作者 宋广礼 陈莉 《Journal of Donghua University(English Edition)》 EI CAS 2005年第4期58-62,共5页
In the knitting industry the measurements of the stitch density and the stitch length are usually done manually, which may lead to lower efficiency and less definition and also bring subjective ideas into the test res... In the knitting industry the measurements of the stitch density and the stitch length are usually done manually, which may lead to lower efficiency and less definition and also bring subjective ideas into the test results. In order to improve the effect we can measure with Digital Image Processing Techniques. A piece of sample is scanned into computer and changed into a digital image, which is processed with media filtering. To acquire the power spectrum, the image in the spatial domain is converted into the frequency domain. Picking up the characteristic points describing the stitch density and the stitch length separately in the power spectra and reconstructing them, the values of the stitch density and the stitch length could be calculated. When measuring the stitch length, we should establish a geometric model of the stitch based en the digital image processing, which provides a method to transform the stitch length in the two-dimensien space into the three-dimensien space and to measure the value of the stitch length more accurately. This method also provides a new way to measure the stitch length without damaging the fabric. 展开更多
关键词 Weft knitted fabrics stitch density stitch length digital image processing two-dimension Fourier transformation geometric model of the stitch.
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