目前，反图像垃圾邮件的研究比较少，且属于探索性质，还没有成熟的算法，公开的垃圾图像语料库也非常少。
And most of work we do now is just a kind of explore, and there is a lack of corpus library in public.
为提取垃圾邮件图像中文字的角点信息，提出一种新的基于图像边缘和圆形模板的角点检测算法。
Combining edge extraction methods and a circular template, this paper proposes a new method for detecting corners of text in spam images.
这就需要对图像型垃圾邮件进行研究。
实验结果表明，基于图像相似性检测的垃圾邮件图像过滤方法对垃圾邮件图像有很好的过滤效果。
It is showed with experiments that this new method which based on similarity detection of image has a good performance.
实验结果表明，基于图像相似性检测的垃圾邮件图像过滤方法对垃圾邮件图像有很好的过滤效果。
It is showed with experiments that this new method which based on similarity detection of image has a good performance.
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