tsp_hopfield

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

xp 左侧 折叠式菜单

图像灰度拉伸、直方图均衡算法以及FCM聚类算法。(Image stretching, histogram equalization algorithm and the FCM clustering algorithm.)

基于上下文注意的显著区域检测，附件包括代码和英文文章。(Context-Aware Saliency Detection. The file includes the paper and the source code in matlab.)

鼠标写毛笔字源码例程，程序结合易语言扩展界面支持库和图像格式转换支持库，实现用鼠标写出毛笔字的效果。可以展现多种毛笔字形态，启动时有使用帮助说明。(Mouse calligraphy source routines, programs combined with easy language support library expansion interface and image format conversion support library , use the mouse to write calligraphy achieve results. )

说明：  图片采用3x3均值滤波，用Verilog语言描述，输入输出分别使用外同步(Pictures are filtered with 3x3 mean and described in Verilog language. Input and output are synchronized with each other.)

说明：  计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)

基于遗传算法的图像分割算法。实现图像的分割，显示原图及处理结果图像。(Based on genetic algorithm image segmentation algorithm. Realize image segmentation, and processing results show the image. )

基于颜色的图像检索，将RGB转化成ＨＳＶ的方法(Color-based image retrieval, the method of RGB into HSV)

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.)