文件名称:imageprocessing
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 1.15mb
- 下载次数：
- 0次
- 提 供 者：
- ha***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
包括了几种最常见的滤波器的设计（高通低通都有），还有边缘检测，直方图均衡化，FFT变换等。-Includes several most common filter high-pass low-pass design (have), and edge detection, histogram equalization, FFT transformation, etc.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
imageprocessing\其他相关代码\dct.m
...............\............\enhance.m
...............\............\gaussian.m
...............\............\图像增强\add_noise.m
...............\............\........\average_neighborhood.m
...............\............\........\cell_128.img
...............\............\........\enhance.m
...............\............\........\fing_128.img
...............\............\........\lena.img
...............\............\........\medfilter.m
...............\............\........\sharpen.m
...............\............\........\weighted_average.m
...............\............\........\wiener.m
...............\............\滤波\bandblock_butterworth.m
...............\............\....\bandpass_butterworth.m
...............\............\....\butterworth_highpass_filter.m
...............\............\....\butterworth_lowpass_filter.m
...............\............\....\cell_128.img
...............\............\....\exponent_highpass_filter.m
...............\............\....\exponent_lowpass_filter.m
...............\............\....\fing_128.img
...............\............\....\ideal_highpass_filter.m
...............\............\....\ideal_lowpass_filter.m
...............\............\....\lena.img
...............\............\....\trapezoidal_highpass_filter.m
...............\............\....\trapezoidal_lowpass_filter.m
...............\............\边缘检测\detection.m
...............\数字图像处理上机作业.doc
...............\第一题1-二值图像\squarep.m
...............\......2-滤波\ideal_highpass_filter.m
...............\............\ideal_lowpass_filter.m
...............\............\lena.img
...............\..三题1-laplacian\Laplacian_g1.m
...............\.................\Laplacian_g2.m
...............\.................\lena.img
...............\........直方图均衡化\cell_128.img
...............\....................\cell_Histogram_equalization.m
...............\....................\finger_Histogram_equalization.m
...............\....................\fing_128.img
...............\......2-边缘检测\edge_detection.m
...............\................\lena.img
...............\........邻域平均\cell_128.img
...............\................\cell_4.m
...............\................\fing_128.img
...............\................\fing_4.m
...............\其他相关代码\图像增强
...............\............\滤波
...............\............\边缘检测
...............\其他相关代码
...............\第一题1-二值图像
...............\第一题2-滤波
...............\第三题1-laplacian
...............\第三题1-直方图均衡化
...............\第三题2-边缘检测
...............\第三题2-邻域平均
imageprocessing
...............\............\enhance.m
...............\............\gaussian.m
...............\............\图像增强\add_noise.m
...............\............\........\average_neighborhood.m
...............\............\........\cell_128.img
...............\............\........\enhance.m
...............\............\........\fing_128.img
...............\............\........\lena.img
...............\............\........\medfilter.m
...............\............\........\sharpen.m
...............\............\........\weighted_average.m
...............\............\........\wiener.m
...............\............\滤波\bandblock_butterworth.m
...............\............\....\bandpass_butterworth.m
...............\............\....\butterworth_highpass_filter.m
...............\............\....\butterworth_lowpass_filter.m
...............\............\....\cell_128.img
...............\............\....\exponent_highpass_filter.m
...............\............\....\exponent_lowpass_filter.m
...............\............\....\fing_128.img
...............\............\....\ideal_highpass_filter.m
...............\............\....\ideal_lowpass_filter.m
...............\............\....\lena.img
...............\............\....\trapezoidal_highpass_filter.m
...............\............\....\trapezoidal_lowpass_filter.m
...............\............\边缘检测\detection.m
...............\数字图像处理上机作业.doc
...............\第一题1-二值图像\squarep.m
...............\......2-滤波\ideal_highpass_filter.m
...............\............\ideal_lowpass_filter.m
...............\............\lena.img
...............\..三题1-laplacian\Laplacian_g1.m
...............\.................\Laplacian_g2.m
...............\.................\lena.img
...............\........直方图均衡化\cell_128.img
...............\....................\cell_Histogram_equalization.m
...............\....................\finger_Histogram_equalization.m
...............\....................\fing_128.img
...............\......2-边缘检测\edge_detection.m
...............\................\lena.img
...............\........邻域平均\cell_128.img
...............\................\cell_4.m
...............\................\fing_128.img
...............\................\fing_4.m
...............\其他相关代码\图像增强
...............\............\滤波
...............\............\边缘检测
...............\其他相关代码
...............\第一题1-二值图像
...............\第一题2-滤波
...............\第三题1-laplacian
...............\第三题1-直方图均衡化
...............\第三题2-边缘检测
...............\第三题2-邻域平均
imageprocessing