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遥感影像分类的matlab实现（源码+图像）。以及分类后评价（总体精度、Kappa系数、混淆矩阵）。(Remote Sensing Image Classification of matlab implementation (source code+ images). After the evaluation and classification (overall accuracy, Kappa coefficient, confusion matrix).)

matlab环境下的基于形态学的分水岭算法,进行图象分割.(Matlab environment based on the morphology of the watershed algorithm for image segmentation.)

使用radon变换来实现对图像中直线的检测，显示检测结果(Use radon detection of image transformation to achieve straight line, showing the test results)

NRZ type differential phase modulation signal modeling and simulation analysis, Genetic algorithm based reactive power optimization, Matlab for beginner students will help.

基于HOUGH变换的车道线检测和识别的程序，可以使用(Lane HOUGH transform detection and recognition based on the program, you can use)

利用Artoolkit实现了虚拟现实的算法，VS2008下测试通过(Use Artoolkit algorithm to achieve a virtual reality, VS2008 under test)

说明：  边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中，以微分算子的形式表示，并采用快速卷积函数来实现。常用的算子有微分算子，拉普拉斯算子，Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子，具有较好的边缘检测性能，得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分，它能在噪声抑制和边缘检测之间取得较好的平衡(Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between)

说明：  转载的，通过眨眼前后灰度图对比是别人眼，一个学习opencv工具的好例程。(Reproduced by blinking eyes of others around the grayscale contrast, a learning tool opencv good routine.)

实现形态学的腐蚀，扩张，开，闭及击中击不中变换(Realize the morphology of corrosion, expansion, open and close and hit-miss transform)

利用四元数对彩色图像进行各种图像处理的，如滤波、快速傅立叶变化、图像质量评价等。(Use quaternion various images for color image processing, such as filtering, fast Fourier transform, the image quality evaluation.)