问题描述
我正在处理图像分类问题。在分类之前，应该分割图像。我尝试了几种方法。我的问题是我怎样才能测试分割的准确性？。我计划基于像素差异将最终二进制图像与正确的二进制图像进行比较，以获得成功率。有没有更有效的方法比较两个二进制图像的边缘，而不是这个？
I am dealing with a image classification problem. Before classification, images should be segmented. I tried several methods. My question is "how can i test accuracy of segmentation ?". I plan to compare final binary image with correct binary image based on pixel differences in order to get a success rate. Is there a more efficient way to compare edges of two binary image, instead of this?
推荐答案
测量图像分割的质量是计算机视觉社区中充分研究的一个主题。
Measuring the quality of image segmentation is a topic well studied in the computer vision community.
你可以看到方法适用于二元分割。还有方法多个段以及边界精度。
You can see this method that is suitable for binary segmentations. There is also this method for multiple segments and also for boundary accuracy.
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