长江科学院院报2016，Vol.33Issue(11)：12-16,5.DOI:10.11988/ckyyb.20160855
基于区域统计的遥感地物半自动提取
Target Extraction Based on Polygon Statistical Region-based Active Contour
摘要
Abstract
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 im-proved 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 algo-rithm. 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.关键词
统计活动轮廓/面状地物/区域提取/随机搜索/最小描述长度Key words
statistical active contour/planar features/region extraction/random search/minimum description length分类
天文与地球科学引用本文复制引用
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):12-16,5.基金项目
云南省水利重大科技项目(CKSK2015852/KJ) （CKSK2015852/KJ）
云南省省级水资源费项目(CKSK2015720/KJ) （CKSK2015720/KJ）
