快速搜索算法,实现简单，看完后绝对水平大增

BMP2LAY 将BMP图档转换到IC Layout中,以方便Layoyt工程师在CHIP中快速的建立LOGO-BMP2LAY will be converted to BMP files in IC Layout to facilitate Layoyt engineers quickly CHIP establishment LOGO

本程序利用相关度量与仿射变换来跟踪目标 通过通过相似性度量在上帧目标周围区域搜索目标得到目标 5帧以上时 用仿射变换来更新目标模板 从而解决目标跟踪中目标发生形变 -This procedure make use of relevant metrics and affine transformation to track the target through the adoption of similarity measure in the last frame target search the surrounding region has been the target for more than five affine transformation used to update the target template in order to address the target tracking target deformation occurred

MULTIGEN公司VEGA PRIME中对于物体碰撞检测的算法源码，对于碰撞检测的必看程序。-MultiGen Inc. VEGA PRIME for objects in the collision detection algorithm source code for the collision detection procedure of the must-see.

本代码实现了对BMP图像进行几何变换，如缩放、旋转，平移等-Realize this code BMP images of geometric transformations, such as scaling, rotation, translation, etc.

图像处理框架程序，可以打开多种图像格式，并且实现了一些基本的图像算法，界面良好-image processing framework procedures can open multiple image formats, and fulfill some basic image algorithm, a good interface

ycbcr422 to rgb565 convert

本程序主要实现对图像的分割，主要方法有并行边界分割，串行边界分割，并行区域分割，串行区域分割，并实现了Canny算子-The main achievement of this process of image segmentation, the main method of parallel boundary partition, serial border segmentation, region segmentation parallel, serial region segmentation, and the realization of the Canny operator

RanSac算法检测椭圆，要求各个点是接近一个平放的椭圆。效果还可以。-RANSAC ellipse detection algorithm requires each point is closer to a flat oval. Effects can also.

Description: Adaptive SAR ATR Problem Set (AdaptSAPS) Version 1.0

This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user