输电线路钢化玻璃绝缘子(N)

使用kmeans算法对图像进行分割，先对图像进行了rgb到lab的转换(Use kmeans algorithm for image segmentation, the first image of rgb to lab conversion)

说明：  《visual C++ 开发经验技术宝典》图像锐化处理，主要是将图像的亮度增加，颜色的鲜艳感增强。("Visual C++ development experience Technical Collection," Image sharpening, mainly to increase the brightness of the image, bright sense of color enhancement. )

HOG特征提取源代码，这份代码是针对行人检测编写的，可以根据个人需要设置参数。(HOG Feature Extraction source code, this code is written for pedestrian detection, you can set the parameters according to individual needs.)

matlab 的 Difference of Gaussian 算法实现，很常用的算法(matlab the Difference of Gaussian algorithm, it is commonly used algorithm)

说明：  这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)

图像配准和拼接，肯定可以使用。。。harris+ransac(Image registration and stitching, they can definitely use. . .)

说明：  find_center:寻找图像的形心，即图像几何中心点的检测。 otsu:otsu分割 sobelNedge：sobel边缘检测 catch_point:全局阈值分割函数(Find center: find the centroid of the image, that is, the detection of the geometric center of the image. Otsu: Otsu segmentation Sobel edge: Sobel edge detection Catch point: global threshold segmentation function)

说明：  这是我编写的关于计算机视觉中的一种重要的变换---射影变换的matlab源代码，希望对您有用。(This is what I prepared on computer vision in an important transformation of the projective transformation--- matlab source code, I hope useful for you.)

冲击滤波模型是用用于图像边缘增强的一种常用算法(Impact filtering model is a commonly used algorithm for image edge enhancement)

使用JAVA程序语言，图像分割的程序。此程序是我为图像处理上机课的程序。言简意赅，能运行(The use of JAVA programming language, image segmentation procedures. This program is my machine for image processing on the Office s procedures. Concise and will be able to run)