基于区域统计的遥感地物半自动提取
收稿日期: 2016-08-20
网络出版日期: 2016-11-08
基金资助
云南省水利重大科技项目(CKSK2015852/KJ);云南省省级水资源费项目(CKSK2015720/KJ)
Target Extraction Based on Polygon StatisticalRegion-based Active Contour
Received date: 2016-08-20
Online published: 2016-11-08
张 煜 , 陈文龙 , 魏思奇 , 叶 松 , 曹 波 . 基于区域统计的遥感地物半自动提取[J]. 长江科学院院报, 2016 , 33(11) : 12 -16 . DOI: 10.11988/ckyyb.20160855
Active contour is an important method to segment images. Its segmentation strategy is usually edge-based or region-based and based on the contour energy minimization. But the classical active contour is difficult to deal with the region which has weak edges or is in the complicated background. In this paper, we implement an improved statistical region-based active contour and propose a strategy to extract region of interest by polygon. Within the family of exponential probability density function, statistical region-based active contour can run by fast algorithm. We give details of the realization of the algorithm and simplify the contour by the minimum description length. Experiment results illustrate the efficiency of our proposed method in contour extraction.
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