PSO

sift特征点检测及图像拼接，matlab7.0实现的，我从别人那里整过来的，测试的话，用在matlab里面直接调用match( b1.jpg , b2.jpg )即可，我测试成功，里面也有说明文档，为了科研，共享，希望大家有好的代码都0分共享，与己方便，与人方便，中国科研才会发展更迅速(sift feature point detection and image stitching of, matlab7.0 realized, I come from others where the whole test, used in matlab inside direct calls to match (' b1.jpg' , ' b2.jpg' ) can I test success, which also has documentation, in order to research, share, and hope everyone has a good code sharing, and has convenient, and accommodating, the more rapid development of China' s scientific research will)

基于灰度共生矩阵的纹理特征提取。特征参数为：熵，能量，(GLCM-based texture feature extraction. The characteristic parameters: entropy, energy,)

SIFT 算法的实质上是提取局部特征的算法, 该算法在尺度空间寻找极值点, 然后根据极值点来获得尺度、旋转不变量和位置等特征。(In essence, the SIFT algorithm is an algorithm to extract local features. The algorithm finds the extreme points in the scale space and then obtains the characteristics of scale, rotation invariant and position according to the extreme point.)

粒子滤波重采样方法实现程序，包括随机重采样、多项式重采样、系统重采样、残差重采样程序(Particle filter resampling method procedures, including random resampling, resampling polynomial system resampling, residual resampling procedure)

图像阈值分割，基于matlab的二维Renyi熵算法的灰度图像分割(Image threshold segmentation, matlab based two- dimensional Renyi entropy algorithm gray- scale image segmentation)

说明：  图像配准，控制点配准，边缘检测，。。。。。。。。。。。。。。。(image registration, edge detect, hough line detect,)

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 )

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)

鼠标移动到哪里 就显示那里的颜色像素值

在C语言下成功实现读取并显示bmp格式的图像。(Successfully read and display BMP format images in C language.)