GSM_detector

二进小波多级分解，基于小波的图像多尺度分解和便于那检测，成功完成小波对图像的多尺度分解及重构。(into two multi-level wavelet decomposition of the image based on wavelet multi-scale decomposition and then facilitate detection, the successful completion of image wavelet multiscale decomposition and reconstruction.)

选择某一个目录，将某一个目录下的所有图片读取出来 并以缩略图的形式展现

k均值聚类的动态分类算法 灰度图和彩图的 (k-means clustering algorithm for the dynamic classification of grayscale and color)

傅里叶时域频域变换图形处理S参数在时域的应用(Fourier time domain frequency domain transform graphics processing S-parameters in the application of the time-domain)

高斯高通同态滤波器增强照度不均图像，canny算子边缘检测(gauss high Homomorphic filter enhance non-umiformly illuminated image，Canny edge detector.)

说明：  计算图像峰值信号比，比较边缘检测图像的质量(Calculate the image peak signal ratio and compare the quality of edge detection)

应用傅立叶变换对图像处理，实现查看图像的功率谱，以及功率谱经过巴特沃斯高通、低通和高斯高通、低通滤波器后图像的功率谱，再把功率谱还原为图像的功能。(Fourier transform for image processing, see the image of the power spectrum, and the power spectrum after Butterworth high-pass, low-pass and high-pass Gaussian low-pass filter of the image after power spectrum, and then restore the power spectrum of the image.)

说明：  最新的ROI(Region of Interest)算法，不再像传统算法那样只能画出一个圆或者一个长方形。(The latest ROI (Region of Interest) algorithm, is no longer like the traditional algorithms can only be drawn as a circle or a rectangle.)

边缘检测法和阈值分割法，是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验，在详细分析检测原理的基础上，编写了相应的实验并给出了实验结果。(Edge detection and thresholding method, image segmentation is an important technology in two ways. This article describes the general principles of image edge detection and thresholding, the typical algorithms and research status. In this paper, several edge detection operator and thresholding techniques are discussed in detail. Statistics for the number of matches and reinforced the number two experimental statistics, based on a detailed analysis of the detection principle, write the corresponding experimental and experimental results are given.)

基于matlab的高帽变换，能很好地对图像进行一定的处理，实现图像的增强，线性特征的提取，为后续的处理做准备(Matlab-based top-hat transform good image processing, image enhancement, linear feature extraction, to prepare for subsequent processing)