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platerecognize.利用matlab实现车牌定位识别
- 利用matlab实现车牌定位识别，基于颜色信息，效果很明显，准确率很好,License plate location using matlab to achieve recognition, color information based on the results it is clear that very good accuracy
CBIR-matlab.rar
- matlab编程，基于颜色和纹理的图像检索算法的研究，思路清晰，方法有效。,matlab programming, based on the color and texture image retrieval algorithm is clearly thought effective.
MSRCR.rar
- 带色彩恢复因子的retinex算法，用于处理雾天图像,Recovery factor with color retinex algorithm, used to deal with fog image
ColorHistogram.rar
- 图像颜色特征的提取：HSV颜色直方图 描述的是图像的整体颜*况。本程序采用非均匀量化方法得到36bin的颜色直方图。,Image Color Feature Extraction: HSV color histogram describes the situation of the image' s overall color. This procedure using non-uniform quantization method the color histogram 36bin.
colur_segmentation
- 基于matlab的色差图像分割程序，可以实现复杂背景下的图像分割。-Matlab based on the color image segmentation procedure, the complexity can be achieved in the context of image segmentation.
ColorImageEnhancement
- 一种彩色图像增强方法，它用于增强图像的对比度，优化图像视觉效果，同时保持几乎一致的图像色彩保真度.-A color image enhancement method, which used to enhance image contrast, optimizing the image visual effects, while maintaining almost the same image color fidelity.
CBIR
- 用matlab实现的基于颜色特征的图像检索系统。-Using matlab to achieve the color-based Image Retrieval System.
matlab
- 图像二值化，去离散噪声，彩色图像灰度化，特征提取，灰度化，彩色图像平均灰度-Image binarization, to discrete noise, color gray image feature extraction, gray, color image mean gray
39709592CBIR-matlab
- 基于内容的图像检索主颜色直方图的提取，从图像的获取到直方图现实到特征的提取，最后根据图像检索出与所给图像最相似的图像。-Content-based image retrieval dominant color histogram extracted from the images to get to the real histogram feature extraction, the last based on the image to retrieve the image with the m
color-segmentation--based-on-Lab
- 基于L*a*b空间的色彩分割是根据图像中色彩空间不同的颜色来确定不同色彩所在的区域从而对图像进行划分。 这种基于色彩的图像分割方法简单而且易于理解，并且在实际应用中颜色通常具有很明显的区域特征，因此这种方法在实际应用中也有很广泛的用途-Based on L* a* b color space segmentation is based on the image color space to determine the different colors in different colors
color-edge
- 彩色图像边缘检测程序color_edge.m：来源于：《数字图像处理及MATLAB实现》P197-198 canny_edgecolor.m：来源于网络资源 -Color image edge detection program color_edge.m: from: " Digital Image Processing and MATLAB to achieve" P197-198 canny_edgecolor.m: from the network resource
Machine-Vision-System-Color-Recognition
- 机器视觉系统实例--颜色识别系统，matlab实现-Examples of machine vision systems- the color identification system, matlab achieve
Nine
- 第九章 MATLAB 图像显示与色彩 9.1 图像显示 9.1.1 imshow 函数 9.1.2 显示索引图像 9.1.3 显示灰度图像 9.1.4 显示二值图像 9.1.5 显示真彩图像 9.1.6 直接从磁盘文件中显示图像 9.2 特殊图像显示技术 9.2.1 显示颜色条 9.2.2 显示多帧图像序列 9.2.3 显示多幅图像序列 9.3 纹理映射 9.4 图像颜色 9.4.1 图像的退色处理 9.4
watermarkingmatlabsourcecode
- 关于数字水印的matlab源代码，将彩色图像的rgb分量提取出，分别嵌入水印-About digital watermarking matlab source code, the rgb color image to be extracted components, respectively, embedded watermark
coloredgedetection
- 基于形态学的彩色边缘检测，首先在RGB空间对原彩色图像的R，G，B三副伪彩色图像分别进行形态学边缘检测，然后对三副图像的边缘强度进行合并，采用阈值分割法提出图像的轮廓边缘。-Based on morphological edge detection of color, first of all in RGB space to the original color image of the R, G, B three pseudo-color image, respectively, morpho
FHD_PAMI
- 去除彩色图像中的阴影，以便于图像分割，物体识别以及跟踪-To remove the shadow of color images in order to facilitate the image segmentation, object recognition and tracking
seg
- 输入彩色图像，根据亮度差确定边缘，并分割图像，输出分割后的彩色图像。-Input color image, according to the brightness difference to determine the edge, and split images, the output of the color image after segmentation.
Edge-Detection-Color
- 主要是关于彩色图像边界提取的源代码。里面包含有待处理的图片以及所有的源代码，即M文件。-Mainly on the color image edge extraction of the source code. Which contains the picture to be addressed, as well as all the source code, that is, M documents.
psydo-color
- 伪彩色处理是指将黑白图像转化为彩色图像，或者是将单色图像变换成给定彩色分布的图像。由于人眼对彩色的分辨能力远远高于对灰度的分辨能力，所以将灰度图像转化成彩色图像表示，就可以提高对图像细节的辨别力。 伪彩色处理的基本原理是将黑白图像或者单色图像的各个灰度级匹配到色彩空间的一点，从而使单色图像映射成彩色图像。对黑白图像中不同灰度级赋予不同的彩色。 -Pseudo-color processing refers to the black-and-white images into color
color-snake
- 利用彩色蛇模型对彩色图像进行处理，即不将彩色图像分为Ｒ，Ｇ，Ｂ三个分量，而是将彩色图像视为单一簇的处理，反而会得到更好的边缘清晰度-The use of color snake model for color image processing, that is, not the color image into R, G, B three-component, but rather as a single cluster of color image processing, it will ge