文章提出了一种基于最小错误率的SAR图象自动分割算法。
The paper presents an algorithm of automatic SAR image segmentation based on minimum error ratio.
对分割后的微小昆虫二值图象做适当的处理能够保证微小昆虫自动计数的结果准确。
The accuracy of automatic counting result can be increased if some math morphologic processing algorithm applied to segmented binary insect image.
它是基于图象分割前后矩保持不变的原理，利用图象的灰度级直方图自动地确定多个分割阈值，该算法简单、计算量小。
It is based on the principle that the moment remains unchanged before and after the segmentation. This algorithm features simplicity and less calculation requirement.
采用分段线性函数增强皮肤癌表面图象，并利用二维滑动窗分割，实现自动门限提取皮肤癌表面图象特征。
The image is enhanced and segmented by means of the piecewise linear function, 2-d sliding window and auto-threshold, etc, As a result, some of the characteristics of the image are extracted.
实验结果表明该算法能够有效提高图象分割的质量，从而提高了半导体器件检测的正确率和自动化程度。
Finally an optimal method is developed. Experiment results show that the method can enhance the quality of image segment...
实验结果表明该算法能够有效提高图象分割的质量，从而提高了半导体器件检测的正确率和自动化程度。
Finally an optimal method is developed. Experiment results show that the method can enhance the quality of image segment...
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