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: |
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Author:uhih |
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Description: 本人编写的用直方图提取纹理特征的源码，希望对大家有用-I am prepared to use the histogram of the source texture feature extraction, in the hope that useful Platform: |
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Author:yixin |
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Description: 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, the calculation of the 16 regional color histogram, calculated similarity is Euclidean distance. Platform: |
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Author:周文 |
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Description: 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色情况。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. Platform: |
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Author:卢悦 |
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Description: 图像的特征提取程序，包括图像的重心，直方图，一阶矩等-Image feature extraction procedures, including the focus of the image, histogram, such as first-order moment Platform: |
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Author:郝丽 |
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Description: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The
masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem
can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as
similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method
successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data
association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking. Platform: |
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Author:Ali |
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Description: 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。针对基于颜色的图像检索，本文采用应用广泛的RGB颜色空间来表示图像的颜色特征，对颜色分量进行等间隔量化并形成特征矢量并对特征矢量进行归一化处理，采用图像均匀分块的方法引入图像中色彩所处的位置信息，用距离度量函数进行图像的相似性匹配。在此基础上实现了基于三基色直方图算法的检索系统。
本文的研究和实践对于促进基于内容的图像数据库检索技术的应用具有一定的参考价值和实践意义。-With the rapid development of Internet, the multimedia information is booming. All this information is mostly images. Effective recognizing, management and searching all these images have been an emergent problem. This has led the rise of a new research and development field: Content-Based Image Retrieval (CBIR).
The topics to research, analysis color images red, green and blue color histogram generation, feature extraction and the similarity of the issues, application of the color image- trichromatic histogram of the image retrieval. Based on the color against the static image retrieval, this paper application of a wide range of RGB color space to indicate the color image features, the color components, such as spacing and quantitative characteristics of a feature vector and a normalization of vector processing, using uniform image block the introduction of the method in which the color image Location information, and distance measuring function similar to the image of the match. On Platform: |
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Author:qichao |
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Description: 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 most similar images. Platform: |
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Author:Jennifer |
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Description: 本文的内容是基于红外图像的特征提取，在基于个数判断噪声的中值滤波器进行平滑处理的基础上,提出了一种改进的过渡区
提取方法,并将该方法应用于对比度低、宽谷直方图的复杂背景红外图像的分割。Matlab仿真
实验表明,该方法减少了图像分割的运算量,并能将具有复杂背景的红外图像目标分割得较
好。-This content is based on the infrared image feature extraction, the number of judgments based on the median noise smoothing filter based on an improved transition region extraction method and the method is applied to low contrast, wide Valley histogram segmentation of infrared image with complex background. Matlab simulation results show that the method reduces the computation of image segmentation, and can have a complex background object segmentation of infrared image better. Platform: |
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Author:邢春 |
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Description: GDAL支持的Morton 编码金字塔无缝漫游工具，从2007年开始，不断更新到2011年，偶的小业余研究。底层基于GDAL, 支持很多冷门格式。使用Morton金字塔重构二维数据，加上内存映射文件的帮助，浏览GB级影像没有问题。内嵌带接缝处理的透明分块条带处理接口，无需了解金字塔，也能透明对GB级影像进行各种处理。内嵌直方图均衡和模板卷积的例子，演示如何透明的开发处理算法。附带重要的功能是“尺度不变特征SIFT”的特征提取，本来是上学时的论文，经过这些年零敲碎打的改造，现在能进行全自动、半自动、手动控制点提取、模型最小二乘估计，纠正功能，最终把偶的风景照拼接成全景。由于离开原先行业，没再用真正的遥感图试过，只当好玩吧！内附代码、范例、详细说明书。性能肯定不如SIFT原版范例。
核心算法见
Matlab+C SIFT 特征提取与匹配演示程序
http://download.csdn.net/source/3472933
http://www.pudn.com/downloads372/sourcecode/graph/texture_mapping/detail1607889.html-Morton GDAL support seamless roaming pyramid coding tools, beginning in 2007, constantly updated to 2011, even the little amateur research. Bottom based on GDAL, support for many unpopular formats. Reconstruction of two-dimensional data using the Morton pyramid, with the help of memory mapped files, browse the GB-level image is no problem. Embedded with the seaming strip of transparent block processing interface, no understanding of the pyramid, but also transparent to the GB-level images of various processing. Embedded histogram equalization and template convolution example, shows how transparent the development of processing algorithms. With important function is to "scale-invariant features of SIFT" feature extraction, could have been school papers, after all these years of piecemeal reform, now fully automatic, semi-automatic, manual control points extraction, model least squares estimation to correct function, eventually even spliced into a panoramic landscape photo. Since leaving Platform: |
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Author:流浪小狗 |
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Description: 特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征-Pattern recognition feature extraction is the most important part, here' s matlab code to compute some basic voice features, but also provides a simple classification method based on histogram characteristics of the implementation. Basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean entropy, the zero-rate detection, attenuation, and so the six characteristics of the spectrum Platform: |
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Author:李韬 |
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Description: 用matlab做的手势识别 基于梯度方向直方图特征提取 欧氏距离判断-Gesture recognition with matlab do the gradient direction histogram feature extraction based on Euclidean distance to determine Platform: |
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Author:袁永金 |
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Description: 1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。
3 SIFT算法的主要特点：
a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤：
1） 检测尺度空间极值点
2） 精确定位极值点
3） 为每个关键点指定方向参数
4） 关键点描述子的生成
本包内容为sift算法matlab源码-1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe Platform: |
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Author:李青彦 |
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Description: 基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 164864 |
Author:EmilyFu |
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Description: 基于图像检索的，颜色特征提取MATLAB中由RGB转向HSV颜色空间的颜色直方图-Based on image retri , the color feature extraction in the MATLAB RGB to HSV color histogram of color space Platform: |
Size: 1024 |
Author:小王 |
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Description: lbp实现图像的特征提取，可得到图像的直方图特征。(LBP realizes the image feature extraction, and can get the histogram features of the image) Platform: |
Size: 3072 |
Author:李易峰
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Search - histogram feature matlab