segmentation造句121. The system consists of five parts: liver segmentation, vessel segmentation, vessel classification and analysis, liver segment analysis and virtual surgery.
122. During the second step, an algorithm of based on optimization maximum matching and statistics is presented focus on improving segmentation efficiency.
123. Images of the body type Organ segmentation, and so on.
124. To improve the real-time performance for visual navigation of the mobile robot, a parallel color image segmentation algorithm using peer group filter(PGF) and fuzzy membership is studied.
125. You can also consider a model that takes into account the global properties of sentence segmentation (e. g. , sentence length distribution).
126. First, we analysis and create general theoretical model of video segmentation.
127. Based on the laws of Gestalt psychology, a geometric active contour model for image segmentation is proposed in this paper.
128. A new method for natural color image segmentation is proposed. The phase congruency is applied to detect edge and obtain the major geometric structures in an image.
129. The segmentation is the key procedures and the basis of segmentation and recognition in digital image field.
130. Add the unit UPhysics 2 DPolygonTool , the segmentation of an arbitrary polygon ( triangulation ).
131. The mathematic models of the support vector computation complexity and the sample segmentation subset amount were established, the optimum choosing method of the subset amount was gi.
132. The relaxation detecting of effective feature segmentation is studied before matching capability of Scene Matching Algorithm of fuzzy entropy similarity metric can be improved.
133. It tries to perfect the segmentation strategy used in traditional marketing.
134. Curvature segmentation method is a multi-threshold selection method through searching valley based on histogram cumulative distribution function.
135. There are many factors that cause the characters segmentation task difficult, such as image noise, plate frame, rivet, space mark, plate rotation and illumination variance.
136. An image segmentation method based on the velocity feature vector of moving target was proposed.
137. The introduction of the synchronization dimensional structure filter makes the Laplace operator improve the segmentation quality with a high real time capability by the original arithmetic.
138. Objective To design an automatic segmentation algorithm for lung region abstraction from CT images in computer-aided diagnosis(CAD) of lung diseases.
139. Finally, the particle size is measured based on the image segmentation and circularity theory.
140. The algorithm could improve the effect of image segmentation through region merging and smooth after original segmentation.
141. This paper discusses the data parallel algorithm and its implementation on region growing image segmentation, the correctness is proved, and the performance is also analyzed.
142. Segmentation problem is used to separate the sequence into several segments, and all those segments present the whole sequence and meanwhile they do not have any effect on the vision impact.
143. The recursively increasing threshold method is first proposed. Then the method of contour integration region labeling and the design of intensity homogeneity segmentation criterion are presented.
144. The shortest spanning tree approach considers the relationship of the neighbouring pixels, thus improves the robustness and accuracy of the segmentation.
145. Finally, the initial regions were merged to form the final segmentation result by a new region merging strategy.
146. Direct against this kind of situation, the paper presents a method to estimate average size of closely packed particles based on edge density without explicit segmentation.
147. The primary contents of this thesis are: 1 Image segmentation pretreatment.
148. The automatic segmentation of lung parenchyma is one of the key techniques to the computer-aided diagnosis (CAD) system for lung cancer, emphysema and other lung diseases.
149. In computer grading system for beef, the segmentation of rib-eye image of beef carcass and the abstraction of marbling are the objects of inspection for beef carcass grading based on computer vision.
150. Finally the result of segmentation after region growing was attained.