OpenSourceVidProcessing

连接边缘算法提取的孤立点，实现图像边缘连接(link the point to get edges in the image )

cv阈值去噪方法和贝叶斯阈值去噪方法，这两种方法是很常见的阈值去噪方法。(cv thresholding method and the Bayesian thresholding methods, the two approaches are very common thresholding methods.)

二维图像的处理，包括加入高斯噪声，椒盐噪声，滤波处理。(Two-dimensional image processing, including Gaussian noise, impulse noise, filtering.)

多尺度Retinex去雾算法，能有效实现雾霾天获取的模糊图像去雾(Multi-scale Retinex defogging algorithm can effectively achieve defogging defogging)

说明：  将基于小波变换的水印嵌入后的宿主图像加噪处理再提取灰度水印。(will be based on the wavelet transform the watermark embedded in the host Image Noise from Gray again watermark.)

说明：  图像配准，控制点配准，边缘检测，。。。。。。。。。。。。。。。(image registration, edge detect, hough line detect,)

用C语言实现位图格式的图像读取功能，可直接使用。(read BMP by C ,can be used directly.)

脉冲耦合神经网络进行图像分割的matlab程序，利用PCNN点火捕获的相似性集群特性进行图像分割(Pulse Coupled Neural Net)

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)

自己编写的单应性矩阵的求法，按照张正友的论文进行编写的。希望有用。(I have written the homography method, according to Zhang Zhengyou papers prepared for. I hope useful.)