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segmentation造句
181. A range image segmentation algorithm based on Gaussian mixture model of surface normal is proposed. 182. Range image is the discrete array of coordinates, which cannot describe edge feature or topologic relation, it has not be segmented by mature and feasible methods of segmentation up to now. 183. The model is applied in face recognition and image segmentation approach using gradient operator is proposed to increase the recognition accuracy. 184. As a result, this paper presents the 3D reconstruction segmentation display, and analysis results of pollen spore, chaperonin , head, cervical vertebra, tibia and carpale. 185. A method of thermal paint segmentation is proposed by using color cluster and region feature. 186. An image processing-based method is proposed to measure the repose angle by image sampling, region segmentation, edge detection and linear fitting. 187. An automatic segmentation algorithm by means of active contour model to fuse multi - information is proposed. 188. Finally, the output of this algorithm is the optimal threshold. Using this threshold to partition off the pixels, image segmentation is implemented. 189. Clustering or segmentation of data is an important data mining application. 190. For the convenience of the processing pixel map by computer, the rectangular segmentation of color pixel map based on grid projection and Mercator projection is put forward. 191. The preprocess procedure of the automatic check processing system is produced, including the extraction and segmentation of the handwriting numerical strings. 192. Structure grammar based on local area of collection of line segmentation and geometric element and number of classes of geometric element could extract manmade object from natural background. 193. The PCLSM based Mumford -Shah model is applied to the segmentation of optic cup and disk in optic nerve head images. 194. Chinese word segmentation technology means a process which using the corresponding word segmentation algorithm to separate the text and easily to deal with and understand the information by computer. 195. A fast fuzzy algorithm for the segmentation of urban areas especially in panchromatic remote sensing images was proposed. 196. Changes in cartilage thickness were assessed in femorotibial cartilage plates and subregions, after manual segmentation with blinding to time-point. 197. It takes the gray level statistics of the resultant target and background region as a criterion for discrimination if correct segmentation is obtained. 198. The evolution of labor division is demonstrated in the process of the segmentation of labor division network, the specialization of production and the diversification of consumption. 199. The phrase segmentation probability model is considered as an independent feature and added into the statistical machine translation system based on maximum entropy model easily. 200. It aims to resolve problems such as sound segregation, segmentation, sound event and source characterization, auditory scene analysis and music analysis, etc. 201. Here a color image compression algorithm using variable matrix size 3 DMWDCT and based on variable sized matrix segmentation was proposed. 202. The segmentation problem is the maximizing a posteriori estimation of the set of object area result from the watershed labeled. 203. A functional realization of asynchronous transfer mode ( ATM ) switch segmentation and reassembly ( SAR ) is studied. 204. We eliminate ambiguity in segmentation and tagging using a combined system of automatic Chinese words segmentation which is based on Hidden Markov model. 205. The advantages of this model lie in: Firstly, the model is entirely based on perceptual objects, its results can be easily applied to object detection, image segmentation, and scene analysis. 206. The context-sensitive ambiguous structure ( CSAS ) is one of the difficult problems of the Chinese word segmentation. 207. The segmentation by taking production attribute utility as segmentation variable is based on causal variable rather than descriptive one. 208. This paper mainly elaborated segmentation under the RGB and HIS color models. 209. Fuzzy c-means clustering(FCM) algorithm works as an unsupervised classification method has been applied in object identification and image segmentation. 210. The one is to convert the color image into grey scale image, the segmentation is followed.