Description: 一种基于HSV颜色空间的图像检索技术 随着大规模数字图像库的出现，基于内容的图像检索技术（CBIR）应运而生。-HSV color space based on image retrieval of large-scale digital image library with the emergence of content-based image retrieval (CBIR) emerged. Platform: |
Size: 3419136 |
Author:ganchen |
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Description: 基于内容图像检索的程序 对于做CBIR研究的朋友有帮助，起码做为一个试验系统没有问题的。 -Content-Based Image Retrieval CBIR procedure to do research for a friend has to help, at least as a test system without problems. Platform: |
Size: 7087104 |
Author:xiaowei |
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Description: 基于内容的图象检索系统代码图片预处理是为了使图片归一化，归一化的目的是将每幅原始图像调整到相同的尺寸和对应位置，从而消除平移、缩放和旋转对于图像鉴别的影响以方便对图片进行的特征提取。-Content-Based Image Retrieval System code image preprocessing is to enable the picture normalized, normalized objective is to adjust each piece of the original image to the same size and the corresponding location, thereby eliminating the translation, scaling and rotation for the image identification impact on the picture to facilitate feature extraction. Platform: |
Size: 1303552 |
Author:hu |
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Description: 经修改后的SIFT基于内容的图像检索系统
基于两副图的特征匹配-SIFT, as amended, content-based image retrieval system is based on the characteristics of Figure 2 matches Platform: |
Size: 4415488 |
Author:王新胜 |
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Description: 视频序列中的人脸检测与跟踪算法研究
图像中的人脸信息分析对于生物特征识别、人机交互，视频监控、基于内容的图像检索、图像编码、视频会议等方面具有着广泛的应用前景，然而要想对人脸信息进行分析，一个首要的问题就是要先在图像或视频序列中检测或跟踪到人脸，否则人脸信息分析也就无从谈起。本文的研究主题正是视频序列中的人脸检测与跟踪技术-Video sequences of face detection and tracking algorithm for human face image information analysis for biometric identification, human-computer interaction, video surveillance, content-based image retrieval, image coding, video conferencing, etc. with a wide range of applications, However, in order to face on an analysis of information, a First and foremost is the first in the images or video sequences in the detection or tracking of the human face, or else face information analysis will be out of the question. This study is the subject of video sequences in the human face detection and tracking technology Platform: |
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Author:QHLee |
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Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image sequences* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms* Image-based lighting for illuminating scenes and objects with real-world light images* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more* Face detection, alignment, and recognition- with new solutions for key challenges* Perceptual interfaces for integrating vision, speech, and haptic modalities* Development with the Open Source Computer Vision Library (OpenCV)* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12191744 |
Author:kankan |
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Description: 随着数字图象技术、宽带网络技术和数字存储设备技术的发展，在网络上存储、传输大规模分布式数字图象库
成为可能，因此研究基于内容的图象检索技术成为近几年的热点。实现基于内容的图象检索系统的关键问题是实现图象
的语义分割。该文分六类对现有的图象语义分割技术进行了全面的总结，为进一步研究基于内容的图象检索技术奠定了
基础。-With the digital image technology, broadband networks and digital storage device technology, network storage, transmission of large-scale distributed digital image library has become possible, the study of content-based image retrieval technology to become hot in recent years . The realization of content-based image retrieval systems, the key question is to achieve semantic image segmentation. The six points of the existing semantic image segmentation technology to conduct a comprehensive summing up, for further study of content-based image retrieval technology laid the foundation. Platform: |
Size: 140288 |
Author:焦亚民 |
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Description: 基于内容的图像检索，里面也包含了图像语义方面的内有，比如关键字的提取 特征向量的提取等待-Content-based Image Retrieval, which also contains images, there are semantic aspects, such as keyword extraction extraction eigenvector wait Platform: |
Size: 178176 |
Author:小五子 |
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Description: 本书主要论述了智能图像处理技术,系统介绍了智能图像处理技术的有代表性的思想、算法与应用，跟踪了图像处理技术的发展前沿。全书共分为15章，重点讨论了图像边缘检测、图像分割、图像特征分析、图像配准、图像融合、图像分类、图像识别、基于内容的图像检索与图像数字水印。此外，为了内容的完整性，本书还介绍了图像预处理技术，如图像采集、图像变换、图像增强、图像恢复、图像编码与压缩-This book focuses on intelligent image processing technologies, systems introduce intelligent image processing technologies have thought representation, algorithms and applications of image processing technology to track the development of cutting-edge. Book is divided into 15 chapters, focused on image edge detection, image segmentation, image feature analysis, image registration, image fusion, image classification, image recognition, content-based image retrieval and image digital watermarking. In addition, for the integrity of the content, the book also describes image pre-processing techniques, such as image acquisition, image transform, image enhancement, image restoration, image coding and compression Platform: |
Size: 17177600 |
Author:朱郴良 |
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Description: 基于内容的图象检索系统，是我做毕业设计弄的-Content-Based Image Retrieval System, is get me to do a graduation project Platform: |
Size: 17408 |
Author:李明福 |
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Description: 基于纹理谱描述子的图像检索
提出一种新的纹理谱描述子应用于基于内容的图像检索中.讨论了小波变换的思想和纹理谱概念的联
系,根据纹理的视觉特性,提出纹理模式等价类的概念,设计出更合理的纹理谱描述子来描述图像的纹理特征.该纹
理模式刻画了领域内像素灰度变化模式,以纹理谱直方图方式表示图像纹理内容.分析了纹理谱的对称不变性和旋
-This paper presents a new texture spectrum descriptor for content-based image retrieval(CBIR).The
relation between wavelet transition and texture spectrum method is discussed.This paper proposes the concept of
texture pattern equivalent according to texture visual nature to educe more rational texture spectrum descriptor.The
proposed texture patterns depict the variational pattern of pixel gray scales in a domain to descript images texture
feature.It represents image content in the form of texture spectrum histogram.The symmetry invariant and rotation
robusticity are discussed.Comparison with Gabor features using general image dataset indicate that the proposed
texture descriptor takes lower extracting time and provides higher image retrieval accuracy.
Platform: |
Size: 759808 |
Author:swx |
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Search - content based image retrieval