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An Algorithm for boundary extraction Based on Turning Row Permutation into Sequence Permutation

Journal of Beijing Institute of Technology 2010年第3期19卷 343-347页

作者：付梦印张晓晨周培德 School of Automation Beijing Institute of Technology

Image output by computer is done row by row,the shortcoming of which is that we cannot know the topological relations between points at the image boundary.To obtain the closed boundary of the target from an image and turn points＇ row permutation of boundary into sequence permutation,an algorithm based on 4-connection relation of pixel points is proposed and the analysis of its correctness and complexity is given.Compared with classical operators and existing method,the single pixel boundary extracted from gray images by this algorithm is more complete and more distinct.Moreover,it has a lower time complexity and can eliminate the noise inside and outside the target area.The obtained sequence permutation of points is also conducive to follow-up image processing.

关键词： 4-connection sequence permutation boundary extraction infrared image

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Rural Habitation Multistage Nature boundary extraction Based on Geographic Name Database

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Journal of Geoscience and Environment Protection 2016年第7期4卷 37-43页

作者： Binbin Hu Hong Wang Wei Zhang Faculty of Resources and Environment Hubei University Wuhan China School of Urban and Environmental Science Central China Normal University Wuhan China

In order to extract the boundary of rural habitation, based on geographic name data and basic geographic information data, an extraction method that use polygon aggregation is raised, it can extract the boundary of three levels of rural habitation consists of town, administrative village and nature village. The method first extracts the boundary of nature village by aggregating the resident polygon, then extracts the boundary of administrative village by aggregating the boundary of nature village, and last extracts the boundary of town by aggregating the boundary of administrative village. The related methods of extracting the boundary of those three levels rural habitation has been given in detail during the experiment with basic geographic information data and geographic name data. Experimental results show the method can be a reference for boundary extraction of rural habitation.

关键词： Rural Habitation Geographic Name Data Basic Geographic Information Data boundary extraction Polygon Aggregation

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Vector bundle constraint for particle swarm optimization and its application to active contour modeling

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Progress in Natural Science:Materials International 2007年第10期17卷 1220-1225页

作者： Zeng Delu, Zhou Zhiheng and Xie Shengli(College of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China) College of Electronic and Information Engineering South China University of Technology Guangzhou 510641 China

Active contour modeling (ACM) has been shown to be a powerful method in object boundary extraction. In this paper, a new ACM based on vector bundle constraint for particle swarm optimization (VBCPSO-ACM) is proposed. Different from the traditional particle swarm optimization (PSO), in the process of velocity update, a vector bundle is predefined for each particle and velocity update of the particle is restricted to its bundle. Applying this idea to ACM, control points on the contour are treated as particles in PSO and the evolution of the contour is driven by the particles. Meanwhile, global searching is shifted to local searching in ACM by decreasing the number of neighbors and inertia. In addition, the addition and deletion of particles on the active contour make this new model possible for representing the real boundaries more precisely. The proposed VBCPSO-ACM can avoid self-intersection during contour evolving and also extract inhomogeneous boundaries. The simulation results proved its great performance in performing contour extraction.

关键词： boundary extraction active contour modeling particle swarm optimization velocity update vector bundle.

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Feature extraction of overlapping hevea leaves:A comparative study

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Information Processing in Agriculture 2018年第2期5卷 234-245页

作者： Sule T.Anjomshoae Mohd Shafry Bin Mohd Rahim Department of Software Engineering Faculty of ComputingUniversiti Teknologi Malaysia81310 SkudaiJohor BahruMalaysia

Automation of rubber tree clone classification has inspired research into new methods of leaf feature extraction.In current practice,rubber clone inspectors has been using several leaf features to identify clone types.One of the unique features of rubber tree leaf is palmate leaflets.This characteristic generates different leaflet positions,where the leaves are overlapping or separated.In this research,we propose keypoint extraction and line detection methods to extract shape and axil(angle between petioles)features of leaflet positions.The results of keypoint extraction methods,namely,SIFT,Harris,and FAST,were compared and discussed for shape feature extraction.Next,Hough transformation and boundary-tracing methods were compared to identify the suitable axil detection method.The evaluation result demonstrates the proper keypoint extraction method for shape context and the clear advantages of Hough Transformation in accuracy of angle detection.

关键词： Rubber tree leaves Feature extraction SIFT Harris FAST Hough transformation boundary extraction

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The automatic height extraction of buildings from shadow region

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Computer Aided Drafting,Design and Manufacturing 2016年第1期26卷 7-14页

作者： Jiang Min Lai Shunnan Li Sheng Peking University Shenzhen Graduate School Shenzhen 518055China School of EECS Peking UniversityBeijing 100871China Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking UniversityBeijing 100871China. Peking University Information Technology Institute(Tianjin Binhai) Tianjin 300452China.

Height extraction for buildings is a fundamental step of 3D scene reconstruction in many virtual reality applications. In this paper, we propose an automatic method to extract the height of buildings in high resolution satellite imagery based on the length of shadow. Taking into account the limitation of traditional algorithms, we make use of the boundary information of a building to facilitate detecting and matching the shadow regions with higher accuracy. Then, we introduce a shadow-cast model to correct the shadow location in our system. The experimental result shows that when extracting the height of buildings from complex urban regions, our method has better accuracy.

关键词： shadow detection region matching boundary extraction height inference

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