In terms of the gray statistics and distribution information of kernel region and chalky region distribution characteristic in the kernel region, four algorithms of chalky rice are presented.
在稻米垩白的检测问题上，根据籽粒区域的灰度统计和分布信息，以及垩白区域在籽粒区域中的分布特征，提出了四种垩白米检测算法。
Aiming at the distribution characteristic of pixel gray level in tested data, this paper proposes a valid and reliable searching and tracking policy for the object contour.
针对实验数据像素灰度的分布特点，提出了一种对目标轮廓线进行有效和可靠的搜索和跟踪策略。
By analyzing targets' space distribution, shape and gray characteristic in low-reflection area, the Regions Of Interested (ROI) are detected.
在低反射率区域中，利用目标的形状、拓扑关系和目标与背景的灰度分布完成桥梁兴趣区检测。
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