matlab实现灰度预测

典型的图像分割算法，希望对大家有用，多多支持，(Typical image segmentation algorithm, useful for all of us hope, a lot of support,)

：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提 出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)

生成avi视频截图序列。设置截图时长，截图频率，截图类型的参数。(Generate avi video sampling sequence.Screenshot duration, frequency and types of parameters are allowed to set freedom.)

可同时实现多幅图片的傅里叶能量谱统计与分析！得到相应通道能量的信息！(Multiple images to achieve the power spectrum of Statistics and analysis!)

改进lee滤波源码，里面有im是原图 nim是噪声图像

视频异常行为检测，可以实现，使用matlab编程(Video abnormal behavior detection can be achieved using matlab programming)

简单图像压缩处理，正交变化，图像压缩灰度变化(Simple Image Compression Processing, Orthogonal Change, Gray Level Change of Image Compression)

C语言编程，利用矢量量化思想进行图像有损压缩和解压缩(C language programming, using vector quantization thoughts lossy image compression and decompression)

说明：  取一个最优阈值把原图像分为前景色与背景色，两部分的类间方差越大，说明两部分差别越大，便能有效的分割图像。(Image threshold segmentation)

说明：  pso 粒子群优化算法演示程序，实现图形化界面。(PSO PSO algorithm demonstration program to achieve graphical interface.)