Recogniztion_2004_05_18

3种不同的分水岭分割方法以及三种方法的比较(3 different methods of watershed segmentation and Comparison of Three Methods)

说明：  遥感图像的多光谱目标识别，相似度方法实现分类(The multi-spectral remote sensing image object recognition, similarity classification method)

遗传算法与FCM算法相结合实现图像分割，分割精度较好，速度较快(A combination of genetic algorithm and FCM algorithm to achieve image segmentation, segmentation accuracy is better, faster)

图像融合拼接GUI设计，包括图像融合和图像拼接的matlab实现。(Image fusion splicing GUI design, including image fusion and image stitching matlab implementation.)

舌像的梯度提取，然后进行分水岭分割，最后进行邻近区域合并，得到舌体图像。(tongue-image s watershed segmentation based on its gradient change.)

对图像进行细化，本实验的细化对象是一组指纹二值图。(Image refinement, the refinement of the experimental object is a set of fingerprint binary image.)

ccd图像检测程序。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(ccd image detection program. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .)

说明：  计算图像边缘保护指数EPI，需要原始图像与处理后图像(To calculate the EPI, the original image and the processed image are needed)

对图像进行傅立叶变换和反变换，计算频谱幅值(The image Fourier transform and inverse transform, the amplitude spectrum is calculated)

通过Matlab实现维纳滤波及逆滤波复原图像 不使用matlab自带函数 而是自编程序实现(Matlab to achieve through the Wiener filter and inverse filter to recover the image does not use function but rather bring their own self-matlab program)