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新发表论文Graph cuts based active contour model with selective local or global segmentation 附源码，基于图割的主动轮廓模型，用于有选择的局部分割或全局分割，欢迎下载！(Published Graph cuts based active the contour the model with selective local or global a segmentation attached source, the active contour model based on graph cuts for selected local partition or global segmentation are welcome to download!)

说明：  360全景 720全景 VR 360度 720度 全景 漫游 最新添加功能： 1 支持视频播放。 2 支持多个场景 3 支持更换图片（全景图外部链接，XML配置）。(360 Panoramic 720 Panoramic VR 360 Degree 720 Degree Panoramic Walkthrough Latest Add Function: 1 Supports Video Playing. 2 Support multiple scenarios 3 support replacing pictures (panoramic external links, XML configuration).)

双线性插值方法，输出像素的值为其坐标2x2领域内像素值的加权平均。(Bilinear interpolation method, the output pixel values for the coordinates of the area of 2x2 pixels of the weighted average value.)

介绍了一些图形图像处理的基本方法，实验方案以及实验结果及代码等。(Graphics and Image ProcessingGraphic image processing )

第27章 透明位图背景上的滚动字幕实例该程序可以方便实现字幕的滚动效果，程序简单易懂(transparent bitmap on the background of rolling subtitles examples of the procedures to facilitate the achievement of subtitles rolling results, procedures simplified)

源码用于计算不同的重建图像方法得到图像的质量评估检测(Source used to calculate the different image reconstruction methods to assess the quality of the image detection)

应用kmean均值聚类方法对RGB,HSR图像的分割算法，个人觉得自己变得还可以，希望大家借鉴。(application kmean means clustering method of RGB, neighborhood image segmentation algorithm, individuals feel that they can become the hope that you learn from.)

在图像处理过程中盲解卷积也是一个很好地图像去噪的方法。(In the image processing method of blind deconvolution is also a good image denoising.)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)

Onvif设备搜索 示例源码