Description: 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分类判别函数与判别规则，通过对目标特征的分析和匹配来识别目标。-this design requirements to achieve medical image identification process, including the image preprocessing, Image feature extraction and classification ruling three modules. This pretreatment step in the main achievement of the color image is converted to grayscale images, the two gray-scale image value, histogram amendment to remove interference and noise variance Edge Enhancement; the second module is the image feature extraction. Because of the physical objects with geometric characteristics difference in the images showed local area Gray significant changes, the video features, feature extraction and image is its processing, compilation, analysis, summarized in order to extract constitute the target image features can be reflected image as distinct from the other characteristics of th Platform: |
Size: 6630 |
Author:uhih |
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Description: 彩色图像分类程序，包括R,G,B分类，HSV分类，完全自己开发，带GUI-color image classification procedures, including R, G, B classification, HSV classification, completely on my own development, with GUI Platform: |
Size: 8254 |
Author:mikle |
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Description: 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分类判别函数与判别规则，通过对目标特征的分析和匹配来识别目标。-this design requirements to achieve medical image identification process, including the image preprocessing, Image feature extraction and classification ruling three modules. This pretreatment step in the main achievement of the color image is converted to grayscale images, the two gray-scale image value, histogram amendment to remove interference and noise variance Edge Enhancement; the second module is the image feature extraction. Because of the physical objects with geometric characteristics difference in the images showed local area Gray significant changes, the video features, feature extraction and image is its processing, compilation, analysis, summarized in order to extract constitute the target image features can be reflected image as distinct from the other characteristics of th Platform: |
Size: 6144 |
Author:uhih |
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Description: 彩色图像分类程序，包括R,G,B分类，HSV分类，完全自己开发，带GUI-color image classification procedures, including R, G, B classification, HSV classification, completely on my own development, with GUI Platform: |
Size: 8192 |
Author:mikle |
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Description: Fuzzy adaptive color image watermarking algorithm, 基于模糊分类，建立自适应模型，对彩色图像进行水印计算-Fuzzy adaptive color image watermarking algorithm, based on fuzzy classification, the establishment of self-adaptive model for calculation of color image watermarking Platform: |
Size: 108544 |
Author:huiguiyang |
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Description: 1、编制程序显示印章图像（24位真彩色位图）；
2、读出位图中每一像素点的（R，G，B）样本值；
3、以RGB其中某两个（或三个）为坐标，取一定数量的图像点为分析样本，分析其坐标系中的分布；
4、采用本章学习的方法找到分类判别函数，对这些样本进行分类；（要求首先将印章与底纹区分，如有可能将印章、底纹、签字区分）
5、将分类后的结果标记到原始图像上，检查其效果。
-1, the preparation procedures showed that the seal image (24-bit true color bitmap) 2, read out each bitmap pixel (R, G, B) sample value 3 to RGB which a two (or three ) for the coordinates, take a certain number of image points for the analysis of samples, analysis of its coordinate system of distribution 4, the method used in this chapter to learn to find discriminant function classification of these samples for classification (required first to distinguish between the seal and Shading, if possible, will seal, Shading, signatures to distinguish between) 5, will be the result of classification markings to the original image to check its effectiveness. Platform: |
Size: 372736 |
Author:苏朗 |
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Description: 提出一种基于分形理论和BP 神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像
的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB 格式转化为HSI 格式,然后,根据亮度计算分
数维、多重分形广义维数谱q-D( q) 和“空隙”等基于分形的纹理特征,同时加入归一化的色度和饱和度作为光
谱特征,采用BP 神经网络作为分类器。通过对彩色航空图像的分类实验,结果证实该方法行之有效。-Based on fractal theory and BP neural network of aviation remote sensing image supervised classification method. This method tries to aerial images of the spectral information and texture characteristics of the combination. It will first color aerial images from the RGB format into HSI format, and then, according to the brightness calculation of fractal dimension, the generalized multi-fractal dimension spectrum qD (q) and the Platform: |
Size: 274432 |
Author:xuhuoping |
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Description: 智能运输系统中车牌识别技术得到了广泛应用 , 车牌分割是车牌识别的重要部分。基于彩色图像车牌分割与采用灰度图像车牌分割相比 , 可以有效消除阴影影响 , 同时车牌颜色也是车牌识别的一个参数。颜色分类处理使用特征函数 , 可以减少颜色坐标转换运算 , 提高颜色分类速度。文中详细讨论中国车牌特征 , 给出车牌分割详细步骤。车牌
区域判别采用信息融合技术。车牌倾斜矫正结合车牌倾斜特点 , 提出快速算法。-Intelligent Transport System in the license plate recognition technology has been widely applied, the vehicle registration license plate segmentation is an important part of identification. License Plate Based on Color Image Segmentation and the use of gray-scale image segmentation compared to plate, you can effectively remove the shadow, while the color plates License Plate Recognition is also a parameter. Color classification to deal with the use of characteristic function, can reduce the color coordinate transformation operation, improve the speed of color classification. Discussed in detail the characteristics of the Chinese license plate, license plate segmentation gives the detailed steps. License plate region using information fusion techniques discriminant. License plate license plate combination of slant correction tilt characteristics of fast algorithm. Platform: |
Size: 142336 |
Author:memcpy |
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Description: 用k-means 做彩色图像分割，分类数可选-Using k-means to do color image segmentation, classification number of optional Platform: |
Size: 1024 |
Author:卢学 |
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Description: 彩色图像边缘检测及分类，pdf格式的论文，详尽具体，硕士学位论文-Color image edge detection and classification, pdf format, paper, detailed concrete, a master' s degree thesis Platform: |
Size: 12514304 |
Author:shula |
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Description: 的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出
了一种色彩纹理特征的提取模型，采用该模型，利用IGabor滤波器提取数字图像的色彩纹理特征，
并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别，并
成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合，增强了数
字图像之间的特征区分能力。-Study color digital image classification and recognition method and a computer chip used in the automatic classification of porcelain. Method presents a color texture feature extraction model, using the model, the use of IGabor filter extracts the color digital image texture features, and construct support vector classification machine (SVM) classifier group. Results to achieve a high accuracy automatic multi-class image classification and recognition, and successfully applied to automatic classification of porcelain pieces. Conclusion color texture feature extraction method for integration of color and texture to enhance the digital image characteristics between the ability to distinguish between. Platform: |
Size: 346112 |
Author:刘东 |
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Description: 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。
-SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel parameter selection method, and use a different color, texture features for image classification. Platform: |
Size: 3573760 |
Author:ww1 |
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Description: 基于VC6.0的MFC实现，功能包括：图像分类（K均值、ISODATA）、图像融合（基于高通滤波的加权融合和非加权融合、HIS融合）、直方图均衡化、直方图匹配、RGB与HIS之间的相互转换-based on MFC, functionality include: image classification(K means and ISODATA),image fusion(fusion based on HIS transformation and fusion based on high pass filter), histogram equalization, histogram matching, interconversion between RGB and HIS color space Platform: |
Size: 483328 |
Author:M ROCK |
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Description: 对彩色图像进行3级分级，提取低频和高频系数，然后重构原图大小的图-Three color image classification, extraction of low and high frequency coefficients, and then reconstruct the original image size chart Platform: |
Size: 2048 |
Author:林果 |
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Description: 利用颜色对图形进行分类。利用了不同的参数以及阀值进行分类处理。中心点初始值采用了随机处理-Using color graphics are classified. Use different parameters and threshold value classification. The initial value of the center point using a random process Platform: |
Size: 884736 |
Author:yiminghuang |
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Description: this code product to classification of blood histology images.texture and color features used to patterns extraction and classified using SVM (support vector machine). texture features extracted with SRF gradient and LBP operator and to color features extraction, used HSV color histogram. Platform: |
Size: 6144 |
Author:hadi |
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Description: 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: 对于颜色分明的图像, 该算法准确性高, 有较好的健壮性和较低
的计算复杂度, 能很好应用在图像前景与背景分割应用上.-Image segmentation is an important step in image processing, since the information contained in the color image more than the grayscale image, so the color image segmentation more and more people' s attention. A novel based on the RGB color space color similarity image segmentation. first comparative advantages and disadvantages of various color models, and propose a method to calculate the color similarity in the RGB color space based on information and brightness information RGB color space, combined with the proposed image color component calculation method, thereby forming a color-coded map of the last pixel is divided according to the color classification map, segmentation results obtained in experiments on Matlab platform, the results show that: for distinct color image, high accuracy of the algorithm has better robustness and low computational complexity, can be well applied in image segmentation foreground and background applications. Platform: |
Size: 491520 |
Author:naipab |
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Search - color image classification