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图像纹理分析的源代码，基于分形维数的图像纹理分析(Image texture analysis of source code, based on fractal dimension of image texture analysis)

说明：  基于灰度共生矩阵的纹理特征提取方法实现目标的识别(Gray-level co-occurrence matrix based texture feature extraction methods to achieve the target identification)

这是一个关于matlab图形变化的程序，其主要有三个图形，并且能改变其颜色的程序(This program is a a matlab graphical changes, its three graphics, and can change its color program)

用matlab实现不规则光照下自适应阈值的前景背景分离算法。文件里面附测试图像。(Matlab implementation to use irregular light of the prospects for adaptive threshold background separation algorithm. Test image files attached inside.)

本工程收集了多种常用条码的生成方法

这是一段视频分割的源代码 效果比较好 希望对大家有帮助(This is a video segmentation of the source code for the effect we hope to help)

程序为读取图片并对图片进行边缘检测，先采用高斯滤波进行去噪，然后通过求梯度运算检测，非极大值抑制边缘检测，双阈值检测这三种方法，分别对图片进行边缘测，并对边缘检测后显示的图片进行对比。此程序对边缘检测有很大的参考价值。(Program to read the image and image edge detection, Gaussian filter to remove noises, and then detected by calculating the gradient operation, the non-maxima suppression edge detection, dual-threshold detection of these three methods, namely the picture edge test, and the rear edge detection to display image comparison. This program is great for edge detection reference value.)

Matlab写的SVM图像分类程序，是完整的可运行的图像分类程序，高手可以研究一下。(Matlab write SVM image classification procedure is complete working image classification procedures, experts can look at.)

说明：  这是一个在vc6.0基于OpenCV的控制台程序，本例给出一个椭圆曲线拟合的例子，程序首先发现图像的轮廓，然后用椭圆逼近它。(This is a vc6.0 console based on the OpenCV procedures, in this case gives an example of elliptic curve fitting, the program first to discover the outline of the image, and then close it with an oval.)

在图像的DCT系数上嵌入信息，图像为常见的512*512大小的灰度图（实验所用图像为LENA.BMP）。嵌入的信息为一二进制Logo图（实验所用logo图为tj-logo.bmp），该图大小为32*32，共1024个Bit。 1. 在LENA图中嵌入水印，输出嵌入后的水印图像。 2. 对水印图像解码，输出解码后得到的logo图，并统计错误率。 3. 使用不同的嵌入强度进行嵌入，观察其对作品直觉效果和解码效果的影响，绘制相应的曲线。 4. 使用加入噪声、改变对比度、JPEG压缩等攻击方法对水印作品进行攻击，查看解码的效果。 (Information embedded in the DCT coefficients of the image, the image of the common 512* 512 size gray-scale (experimental image LENA.BMP). Information embedded in a binary Logo Figure (used in the experiment logo picture shows the tj-logo.bmp), the plot size 32* 32, 1024 Bit. LENA Figure embedded watermark, the watermark image output embedded. (2) logo watermark image decoding, the output decoded Figure statistical error rate. (3) using a different embedding strength for embedding, observe the works intuitive effects and decoding results, and draw the corresponding curve. (4) by adding the noise, change the contrast, JPEG compression attack methods to attack, to see the effect of decoding the watermark works.)