add_score

一种二维Otsu快速算法的Matlab实现，该算法的原文参见《二维直方图区域斜分阈值分割及快速递推算法》，该文已附在内。(A two-dimensional Otsu fast algorithm Matlab realize that the original algorithm see " Two-dimensional histogram oblique segmentation area and fast recursive algorithm" , the paper has been attached into account.)

经典矩量法点匹配程序，重推导，注释说明详细(Classical point matching moment method procedure)

hough和randon函数求图像中圆，对于水中气泡检测效果很不错(Circle detection based on random Hough transform)

这是角点检测的程序，图像中所有凹凸点都可以检测到，并在二值图像上显示出来，效果不错。直接运行corner.m即可(Corner detection program, the result is good)

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)

对于原始数据进行插值并抽取，从这个过程中将数据平滑化，得到理想的效果。(The original data for interpolation and extraction, data from this process will be smoothed to get the desired results.)

说明：  很好的图像边缘检测程序，MATLAB环境，里面的程序我都试过了，无报错，并附带图片，可直接运行。(Good edge detection procedure, MATLAB environment, which I have tried the procedure, and without error, and attached picture, can be directly run.)

用ＷＰＦ写一个简单的转盘

说明：  VC++6.0图像处理算法集:图象的几何变换、平滑(去噪声)、锐化、腐蚀、膨胀、细化算法、半影调、抖动、直方图修正、彩色变换、腐蚀，膨胀，细化等算法，并有可执行文件供试用，并附有配套电子收，是图像处理入门的好资料。(VC++ 6.0 image processing algorithms: image geometric transformation, smoothing (to noise), sharpening, corrosion, expansion, thinning algorithm, penumbral tune jitter histogram of the amendment, color conversion, corrosion, swelling, refinement algorithm, etc., as well as executable files for trial, together with supporting electronic collection, image processing is a good data entry.)

python写的图像相似度算法。比较图像相似度，选出最相思的图片(python write the image similarity algorithm. Compare image similarity, image to select the most Acacia)