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基于模式链分析的残损胶囊图像的检测和提取

Detection and Extraction of Deficient Capsule Image Based on Pattern-List
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摘要 提出了一种检测残损胶囊的方法。将图像中的若干个胶囊用模板扫描的方法使用矩形框框起来,再合并相邻的矩形框形成模式,而每个模式就是每个独立的胶囊。再对每个独立的胶囊图像依据其残损的特征,筛查出有破洞和变形的胶囊。结果表明,该算法不仅速度快,而且对于胶囊放置有间隙并且凌乱的图像是有效的。 A method is proposed for detecting deficient capsule.It is composed of two steps.At the first step,all capsule pixels are extracted by the bounding-boxes and are stored in a linked rectangle-list.Then all connected rectangles are grouped to form pattern-list.Each pattern is an independent capsule.At the second step,capsule image is detected by deficient features,and the broken and distorted capsules are picked out.Experimental results show that the algorithm speed is fast,and the algorithm is effective to the images in which capsules are placed incompactly and disorderly.
作者 李艳玲 朱音
出处 《数据采集与处理》 CSCD 北大核心 2012年第S1期54-57,共4页 Journal of Data Acquisition and Processing
基金 内蒙古师范大学校级基金(ZRYB1004)资助项目
关键词 图像处理 残损胶囊 矩形框 模式链 image processing incomplete capsule bounding-boxes pattern-list
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参考文献5

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