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11_29_PPHT_and_Standard_H
- 在opencv下，利用标准霍夫变换和概率霍夫变换两种方式，进行了直线检测。都能很好的显示出来。-In the opencv environment, Using the PPHT and standard HT to detect lines in an image.
CV2_Learn_LineFinder
- 使用opencv2写的，利用概率霍夫变换检测直线，并检测带有端点的线段。-Use opencv2 written using probabilistic Hough transform to detect straight line, and the line segment with endpoint detection.
PHough
- 基于opencv的概率Hough代码，用于检测直线-Opencv based probabilistic Hough code for detecting straight lines
extract_feature
- 此工程实现提取jpeg图像的DCT系数首字母概率作为jpeg重压缩检测的特征，以此特征训练出分类模板，可以检测出一张jpeg图像是单压缩还是重压缩。-Works to achieve this extract jpeg image DCT coefficients of the first letter of the probability of detection as a jpeg heavy compression feature, this feature trained classif
canny
- Canny 的目标是找到一个最优的边缘检测算法，最优边缘检测的含义是： (1)最优检测：算法能够尽可能多地标识出图像中的实际边缘，漏检真实边缘的概率和误检非边缘的概率都尽可能小。本程序利用Canny算子实现图像边缘的提取(Image edge extraction by Canny operator)