搜索资源列表
tuxiang
- 灰度图像的直方图均衡化以及rgb图像的均衡化-Gray-scale image histogram equalization and the equalization of rgb images
Image-enhancement
- 图像增强方面的各种滤波算法（灰度线性变化，分段线性灰度变化，对数变化，直方图均衡化，图像平滑，在椒盐、高斯不同的噪声下，实现噪声的中值滤波，图像锐化）-Image enhancement (linear gray-scale changes in the terms of the various filtering algorithm, piecewise linear gray variation, logarithmic histogram equalization, image smoot
tupianchuli
- 图片处理实现缩放、旋转、灰度变换、直方图均衡化-Image processing to achieve scale, rotation, gray level transformation, histogram equalization
PicEqulization
- 图像直方图均衡化，能够实现灰度图像的直方图均衡化，也就是光照补偿算法-Image histogram equalization
Image-processing
- 理论分析和MATLAB编程实践表明，基于直方图的图像增强技术确实能在一定程度上改善图像的对比度和灰度动态范围，提高图像的清晰度。-Theoretical analysis and MATLAB programming practice shows that the histogram-based image enhancement technology can indeed to a certain extent to improve the image contrast and graysca
a-series-of-programs
- 详细说明： ch5_1_1： 图像灰度线性变换 （§5.1.1） ch5_1_2： 图像灰度分段线性变换 （§ 5.1.1） ch5_1_3： 采用对数形式的变换函数进行动态范围压缩 （§5.1.1） ch5_1_4： 图像直方图的均衡化 （§5.1.2） ch5_1_5： 直方图规定化 （§5.1.2） ch5_2_1： 邻域平均的线性平滑滤波法实现降噪 （§5.2.2） ch5_2_2： winner滤波法实现降噪 （§5.2.2） ch5_2_3： 中值滤
renlianshibie
- 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料 -Image pre-processing is the main content of this topic, it is mainly for face images from the camera an
image-processing-program
- 图像处理Matlab源代码，包括二维离散余弦变换的图像压缩，采用灰度变换的方法增强图像的对比度，直方图均匀化，模拟图像受高斯白噪声和椒盐噪声的影响。 -Including discrete cosine transform image compression, the use of gray-scale transformation method to enhance image contrast, histogram equalization, analog image by Gauss
Otsu-threshold-segmentation
- 吴一全等采用灰度级-梯度级构建二维直方图，并提出快速迭代算法。改进的二维Otsu法阈值分割快速迭代算法。-Wu congruent grayscale- gradient level to build a two-dimensional histogram, and a fast iterative algorithm. Improved dimensional Otsu threshold segmentation fast iterative algorithm.
3D-Renyi-entropy-theory
- 魏巍等人提出了一种基于灰度、邻域均值和邻域加权中值三维直方图的最大Renyi熵阈值分割算法。该方法无论在精度上还是抗噪性上都有明显提升。-Wei Wei, who based on gray-scale, neighborhood average and in the neighborhood weighted value of three-dimensional histogram of the maximum Renyi entropy threshold segmentation algo
java-image-processing
- JAVA图像处理读取BMP图像、用RGB获取灰度信息、直方图均衡化、拉普拉斯2阶滤波、平滑锐化、增强滤波、局部阀值处理、全局阀值处理等-Java image processing to read the BMP image, obtained by RGB gray level information, histogram equalization, 2nd order Laplace filtering, smoothing, sharpening, enhanced filtering, p
tuxianghuiduguiyihua
- 读入一幅图像，分别对其进行增加对比度，减少对比度，线性增加亮度和线性减少亮度的处理。接着又分别对4幅图像进行了直方图均衡化处理。灰度归一化用于消除灰度因素造成的图像外观变换。-Read into an image, with respect to their increase contrast, reduce contrast, the linear increase in processing of brightness and linear decrease in brightness. F
MFC-image-processing
- 用于图像处理分析的c++ MFC源程序，包含各种图像处理方法，如边缘检测，直方图，拉普拉斯变换，灰度图转换等。-MFC programme,laplace convertion,gray picture,edge detect.
rgbg
- 借助于opencv库，用c++接口编写，绘制图像rgb以及灰度的直方图，并把相应的统计结果输出到txt。-With the opencv library c++ interface to write, draw the histogram of the image rgb and gray, and the corresponding statistical results output to txt.
Iggrraphicsm
- 图像的膨胀，腐蚀，高斯滤波，灰度直直方图，抽取骨骼线等一系列图像处理功能 -Image expansion, corrosion, Gaussian filtering, gray histogram straight to extract the skeleton line and a series of image processing functions
GrayStat
- 实现一个14bits灰度层次的图像的直方图统计-Gray Stat
image
- 基本的图形图像处理框架，可进行灰度变换、直方图、边缘检测等-Basic graphics image processing framework, gray transform, histogram, edge detection
zftchulijishu
- 直方图均衡化是一种最常见的间接对比度增强方法，通过使用累积函数对灰度值进行调整以实现对比度的增强。-Histogram equalization is one of the most common indirect contrast enhancement method by using the cumulative function of gray value " adjustment" in order to achieve contrast enhancement.
fruitextract
- 只要运行“apple.m”就可以了 按照灰度化，直方图均衡化，中值滤波，边缘检测，特征提取的顺序来 特征提取中，取得“比例系数”时，选择一张横径图片，序号与之前选择图像的相同-Just run the " apple.m" on it in accordance with the grayscale, histogram equalization, median filtering, edge detection, feature extraction feature
histom
- 本源代码首先实现普通的直方图均衡化，再实现灰度级之间的均匀分布，可以有效的解决直方图均衡化过程中的灰度断层现象。使得图像更加的柔和，直方图分布更均匀。-Source code first to achieve common histogram equalization, and then to achieve uniform distribution between gray levels can be an effective solution in the process of histog