图像处理编程

最新png 图片格式编/解码源代码,供高手研究-Png picture format of the latest encoder/decoder source code for the master study

程序实现图像灰度化，设置动态阈值图像增强-Program image, and set the dynamic threshold image enhancement

这是一个简单的卡尔曼滤波演示程序，希望对大家有所帮助。-This is a simple demonstration of the Kalman filtering process, and they hope to help everyone.

自适应滤波算法的MATLAB代码 部分章节-Adaptive filtering algorithm MATLAB code sections

滤波器网上找到的在MATLAB中实现的可能有问题在这里和大家分享一下一起研究-Filters found in the online MATLAB realized there may be a problem here and everyone together to share research

这个是彩色图像分割方法。与RegionExtract采用的方法不同。 首先rgb转换成hsv，对h分量进行直方图分割，得到直方图的峰值和峰谷。利用得到的峰值和峰谷进行区域分割，这样会得到很多的小区域，对这些小区域进行区域合并，区域合并的终止条件是：区域一致性距离在某个固定的阀值之间，比如20或者在某个自适应阀值（该阀值自动计算）。注意：区域合并在luv空间进行。-This is a method for color image segmentation. With the different methods used RegionExtract. First rgb convert hsv, components of the h histogram segmentation, the histogram peak and peak and valley. Utilization of the peak and peak-valley regional partition, it would receive many of the small area of these small regional regional merger, regional merger termination conditions are: the regional consistency of the distance between a fixed threshold, such as 20 or in a self-adaptive threshold (the threshold automatically calculated). Note: regional merger in luv space.

Maximum Shannon information entropy的图像分割，是结合概率统计的方法进行的分割，理论上可以得到图像分割的更多细节。打开即可使用-Maximum Shannon information entropy of the image segmentation, is a combination of the methods of probability and statistics division, in theory, image segmentation can get more details. Open to use

人脸识别系统,你需要按照菜单一步一步才能实现识别!值得一看!-face recognition system, you need to step by step in accordance with the menu can be achieved recognition! An eye-catcher!

简单的图像处理GUI平台，不过是全英文版的 -A simple image processing GUI platform, but the whole English

深入浅出介绍计算机视觉的最新动态。内容包括： * Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration * Extracting camera motion and scene structure from image sequences * Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms * Image-based lighting for illuminating scenes and objects with real-world light images * Content-based image retrieval, covering queries, representation, indexing, search, learning, and more * Face detection, alignment, and recognition--with new solutions for key challenges * Perceptual interfaces for integrating vision, speech, and haptic modalities * Development with the Open Source Computer Vision Library (OpenCV) * The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image s