guituxingzhuanghuan

运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density)

图像融合评价程序，通过均值，标准偏差，熵，梯度，相关系数，光谱扭曲度等多个指标对融合图像进行评价比较。(image fusion evaluation procedures, the mean, standard deviation, entropy, gradient, and the correlation coefficient. spectral distortion degree of integration of various indicators to evaluate the comparative images.)

数​ 字​ 图​ 像​ 处​ 理​ 中​ 的​ b​ p​ m​ 图​ 像​ 读​ 取(Digital image processing of the image b p m reading)

说明：  该算法利用概率论中最大似然估计实现EM算法，通过对理论图像和统计图像的比较得出结果。(The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.)

选择合适的样本特征点，然后可以将特征导入svm进行分类(After the image processing, the main information is obtained by PCA transform, and then the feature of texture information selection is put forward)

对于一幅输入的图形进行特征提取基于gabor小波变换(For an input graphics feature extraction based on wavelet transform gabor)

说明：  输入灰度图像，采用pcnn算法进行边缘检测(Input gray image, use PCNN algorithm for edge detection)

基于FPGA开发的均值滤波程序，效率很高，非常有用(Based on FPGA development of the mean filter program)

SSIM是衡量图像质量的另一个标准，比PSNR略好。此为计算图像SSIM的代码(SSIM is another measure of image quality, slightly better than PSNR. The code is to calculate SSIM.)

采用形态学进行开闭运算，及纹理等分割方法。(The Methods of Image Segmentation on Application and Analysis of Remote Sensing Images)