复杂背景下同光度性质物体的图像分割

提出一种针对复杂背景下具有同光度性质物体的分割方法, 并将全局最小化活动轮廓方法引入到所提出的方法中, 从而达到快速、 全局、 最小化的效果. 该方法利用对目标物体错误检测的“对数概率和”对图像进行二值分类, 再对远景区域的数据进行稳健性统计, 最后最小化能量函数得到分割结果. 通过与C-V模型比较表明, 该算法的运算时间及分割准确性具有明显优势.

Image Segmentation of Homogeneous Photometric Characteristics Objects under Complex Background Clutter

We proposed a segmentation algorithm for objects that exhibit relatively homogeneous photometric characteristics,embedded in complex background clutter.And we introduced the global minimization of the active contour model into our proposed method so as to get a fast global minimization effect.By our method,a simple binary classifier can be arrived by summing the log-probability of error,then,followed by the statistics of the data of the lookout region.At last,the result of segmentation can be attained by gl...