Description: 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。
-discussed a bitmap image and the concept of class, image acquisition, image enhancement, image restoration, orthogonal transformation, coding, Image Registration, motion detection, feature extraction, image segmentation and the identification of related knowledge and basic umbrella from image acquisition to image processing in all areas , and combine Microsoft Visual Object-Oriented Programming System Integrated Visual C, corresponding to the given algorithm and the integrity of the source code. Platform: |
Size: 262274 |
Author:六六 |
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Description: 计算机视觉是在图像处理的基础上发展起来的新兴学科。计算机视觉从信息处理的层次研究视觉信息的认知过程，研究视觉信息处理的计算理论、表达与计算方法。本书系统地介绍了计算机视觉的重要理论与算法，包括图像特征提取，摄像机定标，立体视觉，运动视觉(或称序列图像分析)，由图像灰度恢复三维物体形状的方法，物体建模与识别方法以及距离图像分析方法等。-in computer vision image processing on the basis of the development of a new subject. Computer processing of visual information from the study on the levels of visual information cognitive process, the study of visual information processing theory. Expression and calculation methods. The book systematically introduces computer vision of the important theory and algorithms, including image feature extraction, camera calibration, stereo vision, sports vision (or image sequence analysis), gray-scale images from 3D object shape, Object Modeling and Recognition and the distance between image analysis methods. Platform: |
Size: 13978253 |
Author:谢志东 |
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Description: 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。
-discussed a bitmap image and the concept of class, image acquisition, image enhancement, image restoration, orthogonal transformation, coding, Image Registration, motion detection, feature extraction, image segmentation and the identification of related knowledge and basic umbrella from image acquisition to image processing in all areas , and combine Microsoft Visual Object-Oriented Programming System Integrated Visual C, corresponding to the given algorithm and the integrity of the source code. Platform: |
Size: 326656 |
Author:六六 |
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Description: 计算机视觉是在图像处理的基础上发展起来的新兴学科。计算机视觉从信息处理的层次研究视觉信息的认知过程，研究视觉信息处理的计算理论、表达与计算方法。本书系统地介绍了计算机视觉的重要理论与算法，包括图像特征提取，摄像机定标，立体视觉，运动视觉(或称序列图像分析)，由图像灰度恢复三维物体形状的方法，物体建模与识别方法以及距离图像分析方法等。-in computer vision image processing on the basis of the development of a new subject. Computer processing of visual information from the study on the levels of visual information cognitive process, the study of visual information processing theory. Expression and calculation methods. The book systematically introduces computer vision of the important theory and algorithms, including image feature extraction, camera calibration, stereo vision, sports vision (or image sequence analysis), gray-scale images from 3D object shape, Object Modeling and Recognition and the distance between image analysis methods. Platform: |
Size: 13977600 |
Author:谢志东 |
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Description: 在图像识别领域中，图像提取是最基础也是最重要的一个环节．如果前期图像提取错误，无论识别技术多么高超，也不会识别出正确的对象．本程序演示如何从图象中提取人物轮廓．-In the field of image recognition, image extraction is the most basic and most important aspect. If the pre-image extraction error, no matter how superb recognition technology, it would not identify the correct object. This procedure demonstrates how to extract characters from the image contour. Platform: |
Size: 232448 |
Author:吴文滔 |
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Description: 在图像识别领域中，图像提取是最基础也是最重要的一个环节．如果前期图像提取错误，无论识别技术多么高超，也不会识别出正确的对象．本程序演示如何从图象中提取人物轮廓-In the field of image recognition, image extraction is the most basic and most important aspect. If the pre-image extraction error, no matter how superb recognition technology, it would not identify the correct object. This procedure demonstrates how to extract characters from the image contour Platform: |
Size: 232448 |
Author:tianlan1984 |
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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: 这是从图象提取对象一个程序。 用于车牌分割和提取-This is extracted from the image of a program object. For license plate segmentation and extraction Platform: |
Size: 1024 |
Author:klj |
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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: GrowCut algorithm from "GrowCut" - Interactive Multi-Label N-D Image Segmentation：可用于目标提取的分割算法，包括算法原文
-GrowCut algorithm from " GrowCut" - Interactive Multi-Label ND Image Segmentation: segmentation can be used for object extraction algorithms, including the original algorithm Platform: |
Size: 956416 |
Author:猪哥不亮 |
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Description: 提出了一种新的基于区域的图像检索方法。与传统的基于区域的检索方法相比，论文从组成目标对象的基本结构角度出发分割图像，利用少量色彩等级更易描述对象主要构成的特性提取一组能够描述对象基本组成的区域序列。采用这些区域列的面积作为图像特征，用于图像检索。-A new region-based image retrieval. Traditional region-based retrieval methods, papers from the composition of the basic structure of the target image segmentation perspective, using a small amount of color more likely to describe the object level of the main components of the feature extraction to describe a group of objects composed of basic region sequences. The use of these areas out of the area as image features for image retrieval. Platform: |
Size: 343040 |
Author:lujun |
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Description: Summary: This program do image classification .
Required Products: Image Processing Toolbox
Description: A simple program for object extraction from images.
-Summary: This program do image classification .
Required Products: Image Processing Toolbox
Description: A simple program for object extraction from images.
Platform: |
Size: 15112192 |
Author:Amine |
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Description: this Program is used to track the moving image object from the given frame of the images.
it uses feature extraction from the given histogram Platform: |
Size: 5120 |
Author:Nagarajan |
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Description: 医学图像轮廓提取。通过背景像素与目标像素之间符号的不同来提取-Contour extraction from medical image.This extraction is based on the different signs between background and object. Platform: |
Size: 5120 |
Author:龙宇嘉 |
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Description: 图像的颜色特征提取，通过选择合适的阈值，将对象从复杂背景中提取出来-Image color feature extraction, by selecting the appropriate threshold, the object is extracted from complex background Platform: |
Size: 16384 |
Author:杨莉莉 |
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Description: 在图像是别的领域中，图像提取是最基础也是最重要的一个环节，如果前期图像提取错误，无论是别技术多么高超，最终也不会识别出正确的对象。本实例将实现从图像中提取人物轮廓。-Are other areas in the image, the image extraction is the most basic and most important part, if the pre-image extraction error, whether it is not how superb technique, and ultimately will not identify the correct object. This example will achieve figures extracted from the image contour. Platform: |
Size: 431104 |
Author:王豆豆 |
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Description: Image matting is the extraction of a foreground object from
an image and determination of the transparency of each pix-
el. Matting is inherently an ill-posed and underconstrained
problem. Therefore, some assumptions need to be made to
solve it. Recent methods that provide a closed-form solution
to this problem are based on the assumption of either local
smoothness or the nonlocal principle, but they cannot always
produce satisfactory matting results. In this paper, we pro-
pose a K-nearest neighbors (KNN)-based color line model
that combines and preserves the advantages of both the above
assumptions. The experimental matting results indicate that
they are of comparable or higher quality than those obtained
by the existing methods based on the above two assumptions. Platform: |
Size: 5241856 |
Author:yangs |
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Description: 随着科学技术的飞速发展，机器学习与人工智能技术的不断创新，人们对特定信息检索的需求逐渐增加，使得如何对资源进行合理有效的分类成为一个关键问题。近几年来，基于内容的图像分类的研究焦点主要集中在自然图像的场景分类和物体分类两个方面，大多采用有监督学习方法，通过对底层特征建模和中间语义分析来实现分类。
本文基于Libsvm的图像分类研究及实现，主要针对的是物体分类这一方面，选用了五类水果作为分类研究的对象。对图像进行分类的大体步骤主要包括采集图像样本（主要从Web上获取）、图像预处理（如截成大小一致的图片）、特征向量提取、结合Libsvm进行模型训练、对测试图片进行分类测试。(With the rapid development of science and technology, the continuous innovation of machine learning and artificial intelligence technology, the demand of people for specific information retrieval increases gradually, and how to classify resources reasonably and efficiently becomes a key issue.
This article based on Libsvm image classification research and implementation, mainly for the object classification on the one hand, the selection of five types of fruit as the classification of the object of study. The general steps of image classification include collecting image samples (mainly obtained from the Web), image preprocessing (such as cutting the same size of the image), feature vector extraction, combined with Libsvm model training, the test images were classified test.) Platform: |
Size: 1024 |
Author:安安*
|
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Description: This program based on VS2010 + OpenCV2.4, used to extract the object contour in color images.(note: please keep the image length or width is a multiple of 2.Of course, you can modify the code).The program from the BBN Computer Vision Laboratory.(This program based on VS2010 + OpenCV2.4, used to extract the object contour in color images.(note: please keep the image length or width is a multiple of 2. Of course, you can modify the code).The program from the BBN Computer Vision Laboratory.) Platform: |
Size: 7532544 |
Author:波波鸟
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Description: 图像的形状特征一般是在物体从图像中分割出来以后进行分析，形状特征描述与尺寸测量结合起来可以作为区分不同物体的依据。形状特征有两类表示方法，一类是边界特征，另一类是区域特征。图像的轮廓特征主要针对物体的外边界，而图像的区域特征则关系到整个形状区域。(The shape feature of an image is generally analyzed after the object is segmented from the image. The combination of shape feature description and dimensional measurement can be used as a basis for distinguishing different objects. There are two types of representation methods for shape features, one is boundary feature and the other is regional feature. The contour features of the image are primarily directed to the outer boundary of the object, while the regional features of the image are related to the entire shape region.) Platform: |
Size: 122880 |
Author:堕落方舟 |
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Search - object extraction from image