摘要
以错分概率、相对均匀测度及相对形状测度为评价准则,利用合成图像测试分割算法的性能,客观、定量地分析比较了目前常用的几种整体阈值选取方法,实验结果表明:分割方法的通用性与目标大小、对比度、噪声等图像因素有关.最后,本文给出了各种方法的实际应用范围.
Based on synthetic images, a comparative performance study of several global thresholding algorithms for image segmentation is quantitatively investigated using the criterioa functions such as the probability of error, absolute uniformity measurer and absolute shape measure. Experiments show that the performance of global thresholding techniques is image-dependent. In other'words, it is limited by the object size, the contrast, noise, and so on. Finally, the scope of application of each method is proposed.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1997年第3期271-277,共7页
Pattern Recognition and Artificial Intelligence
基金
国家"863"
自然科学基金
关键词
图像分割
图像合成
阈值选取
图像处理
Image Segmentation, Global Threshold, Image Synthesis, Performance Evaluation