Band-Reject-Digital-Filter

主要用于标签文字的识别，效果比较好，实用性较强(Mainly used for the identification of the label text, the effect is better, more practical)

图像处理 清晰化 .........................(Clarity of image processing .........................)

编制通用的二值形态学运算（腐蚀和膨胀、开、闭和击中击不中变换）函数，函数可以处理不同的变换形式和不同类型的结构元素。并用你编制的形态学函数对一个二值图象进行处理。 用形态学击中击不中变换方法对图象进行细化处理。 实验图象：二值图象由一段文字组成，word_bw.bmp (The preparation of binary morphological operations (erosion and dilation, opening, closing and hit-miss transform) function, the function can handle the transformation of different forms and different types of structural elements. You prepared in morphology function of a binary image. Morphological hit-miss transform method of image refinement process. Experimental images: binary image by a paragraph of text, word_bw.bmp)

彩色图像纹理和色彩特征提取，并用fcm进行分割(Color image texture and color feature extraction, and split with fcm)

卷积神经网络（Convolutional Neural Network）是一个专门针对图像识别问题设计的神经网络。它模仿人类识别图像的多层过程：瞳孔摄入像素；大脑皮层某些细胞初步处理，发现形状边缘、方向；抽象判定形状（如圆形、方形）；进一步抽象判定（如判断物体是气球）。(Convolutional neural network is a neural network specially designed for image recognition. It imitates the multi-layer process of human recognition image: pupil ingestion of pixels; some cells in the cerebral cortex preliminary processing to find shape edges and directions; Abstract judgment of shape (such as circles and squares); and further Abstract judgment (such as judging objects are balloons).)

对图像进行高通滤波和低通滤波处理，包括图片和测试程序。(High-pass filter the image and low-pass filter, including pictures and test procedures.)

说明：  EM算法概述，用来进行图像重采样检测的代码(EM algorithm overview)

说明：  这是一个基于活动轮廓模型的快速全局最小算法的matlab实现程序，对学习现代图像处理有一定帮助。(This is an active contour model based on the rapid global minimum algorithm matlab implementation process of learning in modern image processing have some help.)

从串口实时采集数据，读取家速度传感器的值，并且显示波形(Real-time collection of data from the serial port, read the value of home speed sensor, and display the waveform)

matlab图像处理代码，利用分裂、合并算法进行图像的分割，含m文件和GUI(matlab image processing code, using split, merge image segmentation algorithms, including documentation and GUI m)