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ImageComparator.rar
- 实现了比较两图像的相似度，先转化为相同大小，然后生成图像的颜色直方图，最后比较两直方图的相似度,To realize the similarity of two images, first into the same size, and then generate the image color histogram, and finally compare the similarity of two histograms
similaritymeasurement
- 利用matlab实现两幅图像之间的相似性度量，主要是基于颜色直方图-Between two images using matlab to achieve similarity measure is mainly based on color histogram
cbir
- 用的是局部颜色特征，再说细点是用里面的区域颜色直方图的方法。把图像归一化到256X256，把图像分成4X4块，计算16个区域的颜色直方图、、、 最后计算相似度是用欧氏距离.-Using local color feature, repeat fine-point is inside the regional color histogram method. The normalized image to 256X256, the image is divided into 4X4 blocks
40
- 近年来，随着互联网的高速发展，网上的多媒体信息也急剧增加，这些多媒体信息以图像为主。如何从浩瀚的图像数据库中快速、准确地找出所需要的图像，己成为一个备受关注的研究课题。有效地组织、管理和检索大规模的图像数据成为迫切需要解决的问题。于是基于内容的图像检索(Content-Based Image Retrieval: CBIR)作为一个崭新的研究领域出现了。 本课题拟研究、分析彩色图像红、绿、蓝三基色直方图的生成、特征提取和相似度等问题，应用图像的颜色信息—三基色直方图对图像进行检索。针对基于颜
dlez
- 基于HSI色彩空间的道路区域去除 通过对RGB空间的色彩变换，根据颜色的不相似度量，将道路图像中的色彩区域去除，由于阈值设置的问题效果有时不是太好，还需要进一步完善。-HSI color space based on the removal of the road area Through the RGB color space conversion, according to the color similarity measure is not, the road to remov
NC_ClientDlg
- As we know, the cube model RGB color space (red, green, blue) designed for specific hardware, is not perceptually uniform, and the proximity of colors does not indicate color similarity. The cone model HSV color space (hue, saturation, value)
match
- 由图像的颜色直方图求取相应的区域颜色熵，利用该信息判断出两幅图像间的相似度，可将其利用到诸如镜头检测之类的场合中-Use color histogram to calculate corresponding regional color entropy, use this information to determine the similarity between two images,which can be used to detect the occasions such as shot
New_Dominant_Color
- Calculates dominante color and measure the similarity between the input image and directory contains other images
ColorBasedWatershedSegmentationofLowAltitudeAeria
- we introduce the Color-based Catchment Basin Merging Algorithm, an area-based segmentation approach that is specifically designed to segment low-altitude aerial images, as a preprocessing step to 3D reconstruction. This approach extends the w
Desktop
- Measuring similarity between images using Color Histogram approach
HSV-color-space-based-on-similarity-calculation-me
- 一种基于HSV空间的颜色相似度计算方法 一种基于HSV空间的颜色相似度计算方法-HSV color space based on similarity calculation method
CBIR-document
- CBIR is retrieval of images based on some query or example images. It is also called Query based image retrieval. Firstly, this report outlines a descr iption of the primitive features of an image color and shape. These features are extracted and use
Image-similarity-detection
- 图像相似度检测，下面是直方图相交的代码，同种图片的识别率达90％以上，性能非常稳定。 程序的例子是8位（256色）位图，其他位图类似.-Image similarity detection, the following code histogram intersect the same kind of picture identification rate of 90 , performance is very stable. Examples of the program is 8-bit (
Color-face-recognition
- 实现基于肤色模型的人脸检测算法，包括基于相似度和几何特征以的非线性变换技术的算法的实现-Face detection algorithm based on skin color model, the realization of the algorithm based on similarity and geometric characteristics to non-linear transformation technology
color-histogram-based-image-system
- 要求设计一个基于颜色直方图的图像检索系统。该系统能够实现对图像的检索功能，例如，在一万幅图像中搜索出与检索图像相似的图像，依相似程度的大小显示出来。最后用查全率和查准率对系统进行评估。-To design a color histogram based image retrieval system. The system can realize the image search function, for example, a square image search and retrieval
Color-histograms
- 图像彩色直方图比较， 比较彩色图像的相似度，在做图像相似度比较方面可以使用。-Image color histograms, similarity compare the color of the image, making the image similarity comparisons can be used.
vedio
- 目标检测与识别 1. 颜色检测 采集大量敌方机器人的图片数据，并进行训练，得到对方机器人的颜色区间， 并以此为阈值对整幅图像进行颜色检测，找到疑似敌方机器人的区域，量化 成二值图。 2. 滤除噪声点 对得到的二值图像进行开运算处理，滤除颜色检测结果中的噪声点。 3. 连通区域检测 对图像中的疑似区域进行连通区域检测，计算出每个疑似区域的外部轮廓， 用矩形近似表示。 4. 连通区域合并 根据连通区域之间的距离和颜色相似性，将距离接近且相似性高的连通区域
RGB-color-model-similarity
- 图像分割是图像处理的重要步骤, 由于彩色图像含有的信息比灰度图像还多, 因而对彩色图像分割的研 究越来越受到人们的关注. 提出一种新的基于RGB 空间颜色相似性的彩色图像分割方法. 首先比较各种颜色模 型的优势与不足, 然后根据RGB 颜色空间的颜色信息和亮度信息提出一种计算在RGB 空间下颜色相似性的方 法, 再结合提出的图像颜色分量计算方法, 从而形成颜色分类地图, 最后根据颜色分类图进行像素划分, 得到分 割结果. 实验在Matlab 平台上进行, 结果表明: 对于颜色分明
camshiftKalman
- camshift+kalman，克服了camshift单一颜色跟踪的缺陷，kalman可以解决目标遮挡及颜色相近的问题-camshift+kalman，Overcoming the camshift single color tracking defect, kalman can solve the problem of target occlusion and color similarity
ColorHistogram
- RGB空间转换HSV并量化，然后实现颜色相似度计算达到检索效果(The RGB space is transformed into HSV and quantized, and then the color similarity is calculated to achieve the retrieval effect)