离散余弦变化的应用，先对图像进行灰度变换，再对图像进行压缩...

图像的几种经典拼接算法，以及其他图像处理算法-Several classical image stitching algorithm, as well as other image processing algorithms

TPicShow is an image slider control with 171 transitional effects in pure Delphi code. The major characteristics of TPicShow are: Image transition can be controlled programmatically Image can be stretched or centered in the client area of the control Control can show a background image as centered, stretched, or tiled Transition process can use a separated thread New transitional effects can be easily implemented and added to the control TDBPicShow is the data-aware version of TPicShow with ability to load bitmap, jpeg, and metafile images (natively) from a blob field.

用来模糊图像，加入一些噪声，并且恢复图像原貌！验证图像的可分辨程度。-used to fuzzy images by adding some noise, image and restore the original appearance. Images can be verified to distinguish degree.

这是 针对 图象分割的图象生长算法,用来分割有多个峰的灰度图像,在Vc环境下-this is a picture of the image segmentation algorithm growth, for a number of peaks divided the gray image in Vc environment

常用游戏图像处理,线性插值算法实现图像缩放、旋转详解,2D 游戏中的光照,动态模糊等-Common game image processing, linear interpolation algorithm to achieve image scaling, rotation, Xiang Jie, 2D game illumination, motion blur, etc.

使用opencv，利用图像差分算法，实现通过摄像头进行视频采集，显示当前时间，并利用蓝色的跟踪框跟踪移动物体-Using opencv, the use of the image difference algorithm, to achieve through the camera for video capture, display the current time, and use the blue box to track a moving object tracking

本程序实现了K均值(HCM)算法，ISODATA算法，模糊C均值(FCM)，模糊阈值法等对遥感影像的分割。-This program implements K means (HCM) algorithm, ISODATA algorithm, fuzzy C means (FCM), fuzzy threshold law of remote sensing image segmentation.

SART代数迭代算法，CT系统中经典算法-SART

该算法为领域标记程序，可以检测 blob 区域-the algorithm for field marking procedures can detect regional blob

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！-First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!