搜索资源列表
zhifangtu
- 对图片进行灰度处理，用matlab编程来实现直方图均衡化，-Gray on the picture to deal with implementation matlab programming to histogram equalization,
cbir-gui
- 一种基于图像颜色直方图的颜色检索方法，编程实现图形用户接口GUI。-A color histogram-based color image retrieval method, graphical user interface programming GUI.
Hist
- 基于环形颜色直方图的图像检索算发，比传统方法好用的多-Annular color histogram-based image retrieval count hair, easy to use than the more traditional methods
a
- gui界面设计，进行图像的一般处理，如旋转，加噪，直方图均衡化等-gui interface design, the general image processing, such as rotation, noise, such as histogram equalization
HISTE
- 图像灰度级均衡化，图像的灰度变换法和直方图均衡化法，加深对灰度直方图的理解。观察图像的增强效果，对灰度级修正前后的图像加以比较-Balanced gray-scale images, and images of gray-scale transformation method and histogram equalization method to enhance the understanding of the histogram. Observation of the effect of i
imhist
- opencv里面像matlab那样显示直方图，解决了opencv没有显示直方图的缺陷。-opencv as it shows as histogram matlab to solve opencv histogram did not show defects.
Matlab
- 基于MATLAB的图像处理（设计图形用户界面，图像直方图统计和直方图均衡）-MATLAB-based image processing (the design of graphical user interface, image histogram statistics and histogram equalization)
matlab
- 实现焊缝图像的直方图均衡化处理，其中包括图像原始直方图和累积直方图，达到图像处理的效果。-The realization of Welds histogram equalization image processing, including the original image histogram and cumulative histogram image processing to achieve results.
ex
- 基于matlab的自适应分段阈值分割，根据直方图自动寻峰自动分割-Matlab based on adaptive sub-threshold segmentation, according to the histogram peak automatic automatic segmentation
image
- 应用matlab或VC语言编制图像处理软件，软件功能如下： 一、实验类型 1． 读入图像，并对灰度图像或彩色图像进行显示，对彩色图像可以转化为灰度图像；（8学时） 2． 对读入的图像可以实现减小和提高图像分辨率的功能（16学时） 3． 计算灰度图像的直方图并进行显示，讨论不同图像灰度分布的直方图特征（16学时） 4． 对上述图像进行直方图均衡化处理，分析直方图均衡化的处理结果；（16学时） 5． 对给定的彩色图像，显示其R、G、B三分量图像的噪声图像及H、S、I三分量完成
enhance
- 在空域中常用的图像增强的程序，有自适应滤波法、二次维纳滤波、梯度法、直方图均衡法等-In the airspace used in the process of image enhancement, and adaptive filtering method, the second Wiener filter, the gradient method, histogram equalization method
OTSU
- 利用二维属性直方图的Otsu自动阈值分割方法 提出了二维属性直方图的概念 ,进而提出了一种基于二维属性直方图的图像自动阈值化方法 有利于写论文-Attributes the use of two-dimensional histogram of the Otsu threshold segmentation method automatically put forward the concept of two-dimensional histogram properties, and then
ImageContrstEnhancemefnon-lineartransformationmeth
- 非线性变换图像对比度增强,基于非完全贝塔涵数和小波变换的自适应图像对比度增强,IE检索论文.-Nonlinear transform image contrast enhancement based on the number of non-complete beta-Han and Wavelet Transform Adaptive Image Contrast Enhancement, IE search papers.
tuxiang
- 实现指纹图像增强，直方图均衡化等空域增强后，在频域也进行增强。开发环境为MATLAB软件。-The realization of fingerprint image enhancement, histogram equalization, such as enhanced airspace, in the frequency domain also enhanced. Development environment for the MATLAB software.
tuxiangjunheng
- 计算灰度图像的直方图，再对图像进行灰度变换，利用直方图进行图像均衡-Gray-scale image histogram calculation, and then gray-scale transformation of the image, using a balanced image histogram
HillClimbingSegment.1.0
- 程序实现Matlab下爬山法(hill-climbing)方法，用于彩色图像分割。-mage is first converted to CIE lab color space and the 3d color histogram is generated. Hill-climbing algorithm is used to find the local maximums in lab histogram, which is used to automatically decide the c
chengxu
- #显示直方图； #对图像进行指数或者对数变换； #直方图均衡化； #局部（ROI）均衡化，把均衡化后的局部图像显示到原图像； #按照某种函数进行直方图匹配。-# Show the histogram # of images or the number of index change # histogram equalization # local (ROI) equalization to balance after a partial image display
1Dentropythresholdingmethod
- 一维直方图熵阈值算法，Pun提出，Kapur对其阈值和熵进行改进-One-dimensional histogram entropy threshold algorithm, Pun made, Kapur entropy threshold and its improvements
MatlabToolboxforImageProcessing
- \常用的图像处理工具（用MATLAB所编）Matlab Toolbox for Image Processing:梯度锐化,图像镜像,图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡,中值滤波等。-\ Common image processing tools (using MATLAB, ed) Matlab Toolbox for Image Processing: gradient sharpening, image mirroring,
HistogramMatching
- 用于对原始图像根据指定图像的直方图进行匹配的matlab函数。用于改善图像的对比度。-Used for the original image histogram according to the specified image to match the matlab function. Be used to improve the image contrast.