Description: 程序实现了bmp和dib图片的的读取,并能用各种经典的算法对图片实现:图像增强,图像匹配,图像复员,图像变换,特征提取,图像识别和图像分割 除此之外,该程序还给出了各个算法的实现结果的比较.详细内容参见压缩包内的-bmp realized by the pictures and Freehand read, and can use various classic picture of the algorithm to achieve : image enhancement, image matching, image demobilization, Image Transform, feature extraction, image recognition and image segmentation addition, the program also gives the various algorithms to achieve more results . See details of the compressed Platform: |
Size: 2657293 |
Author:方完 |
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Description: P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数-P0801: Call Number text image segmentation P0802: adhesion character segmentation P0803: Character Recognition P0804: color plates partition P0805: text segmentation trademarks Recognition: Character Recognition Recognition Functions StrDetect01: the structure of character recognition feature extraction Functions Platform: |
Size: 48128 |
Author:林先生 |
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Description: 《Visual C++数字图像获取 处理及实践应用》配套源程序
本书全面系统地讨论了数字图像处理的理论、设计及应用。全书由自成体系而又互有联系的12章组成，分别讨论了位图及图像类的概念、图像获取、图像增强、图像复原、正交变换、压缩编码、图像配准、运动检测、特征提取、图像分割及识别的相关知识，基本涵概了从图像获取到图像处理的各个领域，并结合Microsoft公司面向对象的可视化集成编程系统Visual C++，给出了相应的算法和完整的源代码。- Visual C++ Digital image acquisition processing and practical application of complementary source book comprehensive and systematic discussion of the theory of digital image processing, design and application. Book by the self-and inter-linked to the composition of Chapter 12, respectively, discussed the types of digital maps and images of the concept, image acquisition, image enhancement, image restoration, orthogonal transform, compression, image registration, motion detection, feature extraction, image segmentation and identification of related knowledge, basic robust from the image acquisition to image processing in various fields and, in conjunction with Microsoft Corporation Visual object-oriented programming system integrated Visual C++, the corresponding algorithms and the complete source code. Platform: |
Size: 3291136 |
Author:ss |
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Description: 医学图像处理，绝得能用的细胞边缘检测，分割最佳阈值的迭代算法，轮廓提取受噪声影响的分析-Medical image processing, the cells must have to use edge detection, segmentation optimal threshold of iterative algorithm, contour extraction affected by noise analysis Platform: |
Size: 61440 |
Author:冯董 |
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Description: matlab处理指纹图像，由于指纹的唯一性、可靠性和稳定性，指纹已成为身份识别和鉴定的一个重
要标志，并被公认为“物证之首”。指纹识别作为一种生物识别技术，历来受到人们的广泛关注和重视，是未来个人身份认证的重要组成部分。-Fingerprint image processing matlab，Because the uniqueness of fingerprints, reliability and stability,fingerprint identification has become an important symbol of appraisal,and is recognized as the "first" material.The fingerprint identified as a kind of biometrics,has received extensive attention of,the individual identity authentication is the important component.Based on the MATLAB software applications for tools,for fingerprint image preprocessing and feature extraction technology research.Including pretreatment part involves by different methods of fingerprint image segmentation to extract valid area,with the improvement of OPTA thinning algorithm for thinning,
Platform: |
Size: 427008 |
Author:赖晓燕 |
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Description: FSL这款软件所使用的脑部软组织提取文献，对大部分脑部MRI图像均可达到比较好的分割效果-The software used by FSL brain extraction of soft tissue literature, the majority of the brain MRI image segmentation can achieve better results Platform: |
Size: 397312 |
Author:霍丽琴 |
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Description: This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring the velocity. The
developed algorithms are implemented and evaluated on TMS320C6416T DSP Starter
Kit (DSK). Segmentation is performed to detect the object after reducing the noise from
that scene. The object is tracked by plotting a rectangular bounding box around it in
each frame. The velocity of the object is determined by calculating the distance that the
object moved in a sequence of frames with respect to the frame rate that the video is
recorded. The algorithms developed can also be used for other applications (real time,
object classi cation, etc.). Platform: |
Size: 1197056 |
Author:vikas |
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Description: 该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项-The program function is to achieve movement of vehicles on the road statistics. A small module function has the following: 1 solution for video frames and displayed. 2, the video training background image. 3, using the background image used by the background method of testing the prospects for video extraction, and conduct threshold processing, image segmentation, to identify mobile car-connected domain. 4, vehicle statistics. Interface package contains instructions and procedures related to the use of the steps and considerations Platform: |
Size: 11650048 |
Author:徐飞 |
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Description: 实现一种结合颜色空间、变换及变形模板的自动唇部定位及唇轮廓提取、跟踪方法首先在空间建立肤色模型进行人脸检测、定位, 并由人脸几何特征进行唇部粗定位然后结合唇色模型进行变换使肤、唇色差别明显化, 提出根据亮度信息对变换结果预处理后用法进行图像分割, 经唇色模型进一步验证后实现唇部精定位再使用变形模板来进行嘴唇轮廓特征提取, 为增强内轮廓定位的鲁棒性, 对经亮度预处理和唇色模型验证得到的口腔区域边缘图进行曲线拟合来实现内轮廓定位最后, 将唇读图像序列中上一帧的唇部定位结果拓展后作为当前帧的预测区域再进行处理来实现唇动跟踪。-To achieve a combination of color space, transform and deformable template automatic lip localization and lip contour extraction, tracking the establishment of the first color model in the space of face detection, location, geometric features of the face by the rough location and then combined with lip lip transformation so that the skin color model, lip color difference visible, presented the results according to the luminance information to transform the image after pretreatment use of segmentation, and further validated by the lip model to achieve precise positioning and then use the deformation of the lip template for lip contour extraction , to enhance the robustness of location within the outline, by the brightness of the pretreatment and the lip model validation by oral Quyu edge map to fit curve to achieve the final positioning within the contour, the lip-reading image sequence in the last frame of the lips After positioning results extend the forecast area as the current frame Platform: |
Size: 970752 |
Author:郭事业 |
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Description: In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. It is new formulation for the extraction of color features that will evaluate the input image in a multispace color representation. To achieve this, we will be using the opponent characteristics of the RGB and YIQ color spaces where the key component will be the inclusion of the Self Organizing Map (SOM) network in the computation of the dominant colors and estimation of the optimal number of clusters in the image. The texture features will be computed using a multichannel texture decomposition scheme based on Gabor filtering. Platform: |
Size: 347136 |
Author:rupesh |
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Description: 手形识别中采用肤色分割的算法，进行手形区域的提取，输出手形区域。-Hand-shape recognition algorithm using color segmentation, hand-shaped region extraction, hand-shaped area of the output Platform: |
Size: 1024 |
Author:liyan |
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Description: 傅立叶变换在图像处理中的重要作用：
(A) 图像增强与图像去噪
绝大部分噪音都是图像的高频分量，通过低通滤波器来滤除高频噪声；边缘也是图像的高频分量，可以通过添加高频分量来增强原始图像的边缘；
(B) 图像分割与边缘检测
提取图像高频分量
(C) 图像特征提取
形状特征：傅里叶描述子
纹理特征：直接通过傅里叶系数来计算纹理特征
其他特征：将提取的特征值进行傅里叶变换来使特征具有平移、伸缩、旋转不变性
(D ) 图像压缩
可以直接通过傅里叶系数来压缩数据；常用的离散余弦变换是傅立叶变换的实变换；
-Fourier transform in the important role of image processing:
(A) image enhancement and image denoising
Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image
(B) Image segmentation and edge detection
High frequency components extracted image
(C) image feature extraction
Shape features: Fourier descriptors
Texture: directly through the Fourier coefficients to calculate the texture features
Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance
(D) image compression
Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation
朗读显示对应的拉丁字符的拼音 Platform: |
Size: 147456 |
Author:夏伟 |
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Description: ：基于主动轮廓识别和被动轮廓识别方法各自的优缺点，提出结合主动和被动的方法，先对图像进行被动轮廓的预处理，然
后再应用主动轮廓的方法，通过比较选出Canny算子进行预处理，再通过基于概率的方法分割图像，最后再应用Snake模型进行
轮廓提取。并取得较好的应用。-: Identification Based on Active Contour and passive contour recognition advantages and disadvantages of each method, proposed method of combining active and passive, passive first outline of the image pre-processing before applying the active contour method, by comparing the pre-selected Canny operator treatment, and then through the image segmentation method based on probability, and finally application of Snake model for contour extraction. And get better application. Platform: |
Size: 250880 |
Author:fuky |
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Description: 将在通过比较多种仿射不变性区域的基础上，选取最大稳定极值区域(MSER)对图像内容进行分割和提取-In a variety of affine invariance by comparing regional basis, select the maximum stable extremal region (MSER) for image segmentation and content extraction Platform: |
Size: 221184 |
Author:陈利华 |
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Description: 基于内容的图像检索技术的关键在于特征提取，是利用图像的颜色、形状、纹理、轮廓、对象的空间关系等客观独立的存在于图像中的基本视觉特征作为图像的索引，计算查询图像和目标图像的相似距离，按相似度匹配进行检索。综合国内外研究现状，可将基于内容的图像检索技术分为如下几种类型:基于颜色特征的检索、基于纹理特征的检索、基于形状及区域的检索、基于空间约束关系的检索。-Based on comparing various affine invariant regional basis, selection of image stabilization exremum area biggest content segmentation and extraction. It has the affine invariants, the neighboring territory, stability and multi-scale characteristics, but also because of regional only by grey value of decision, so the size relations is not sensitive illumination change. In images all the pixel, then through sorting for barrel separated binary tree forest-- set the extreme area all obtained images and construct component tree, finally through the biggest stable delay-independent conditions MSER area is MSER, obtain the area without rules boundary shape of its, in order to facilitate to quantification description, using covariance matrix region neat optimization, made the final output of extreme value for the oval areas regional. Platform: |
Size: 2584576 |
Author:陈利华 |
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Description: 全书由自成体系而又互有联系的12 章组成，分别讨论了位图及图像类的概念、图像获取、图像增强、图像复原、正交变换、压缩编码、图像配准、运动检测、特征提取、图像分割及识别的相关知识，基本涵概了从图像获取到图像处理的各个领域，并结合Microsoft 公司面向对象的可视化集成编程系统Visual C++，给出了相应的算法和完整的源代码。 -Encyclopedia by sui generis and related of chapter 12, respectively discusses the bitmap and the concept of image class, image acquisition, image enhancement, image restoration, orthogonal transformation, compression coding, image registration, motion detection, feature extraction, image segmentation and recognition of related knowledge, are the basic culvert image acquisition to the areas of image processing, and combining with object-oriented visualization of Microsoft company integrated Visual c++ programming system, presents the corresponding algorithms and the complete source code.
Platform: |
Size: 5490688 |
Author:吴哲 |
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Description: 针对目前传统的枸杞分级主要采用人工方法， 费时费力且效率不高的缺点， 提出了一种基于机器视觉技术对枸杞
进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 ， 从而提取枸杞的色泽、 大小及形状等特征
参数； 用 K-means 算法对特征进行聚类， 得到枸杞相应等级的基准； 根据聚类分析得到的基准采用最小距离分类器对枸杞
进行分级。 实验结果表明 ， 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting primarily uses artificial method. It has time-consuming and inefficient shortcomings. An
automatic wolfberry classification method based on machine vision is proposed. This paper uses digital image processing technology for wolfberry image pre-processing, segmentation and extraction of characteristic parameters of color, size and shape it
uses the K-means clustering feature to get the baseline of wolfberry appropriate level it grades wolfberry by minimum distance
classifier based on the trained benchmark. The experimental results show that this method can classify different colors and sizes
of wolfberry more accurately and quickly. Platform: |
Size: 1451008 |
Author:李祥龙 |
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Description: 通过图像分割实现小型金属零件特征区域提取图像分割(Image segmentation for feature extraction of small metal parts by image segmentation) Platform: |
Size: 2048 |
Author:森卯闲人
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Search - extraction by image segmentation