Description: 基于感兴趣区域的图像检索,2004年的硕士两论文,好不容易下载到的-Region of interest based image retrieval, in 2004 the Master of the two papers, finally downloaded to the Platform: |
Size: 1290240 |
Author:QHLee |
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Description: 基于感兴趣区域的图像检索。matlab的，希望对大家有所帮助。-Region of interest based image retrieval. matlab, and want to help everyone. Platform: |
Size: 7168 |
Author:李敏 |
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Description: 基于感兴趣区域的图像检索的算法。
pdf格式。希望对大家有所帮助。-Region of interest based image retrieval algorithms. pdf format. Would like to help everyone. Platform: |
Size: 2054144 |
Author:李敏 |
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Description: 基于感兴趣区域的图像检索的英文论文。
希望对大家有所帮助。-Region of interest based image retrieval of the English papers. Would like to help everyone. Platform: |
Size: 4989952 |
Author:李敏 |
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Description: 面向MPEG_7的图象检索系统的研究与实现.可以对MPEG_7进行快速有效的匹配并且进行部分区域错误检测。-MPEG_7 for Image Retrieval System. MPEG_7 can be carried out quickly and efficiently and to carry out part of the matching error detection region. Platform: |
Size: 1905664 |
Author:niejiyong |
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Description: an article about graph kernel for image retrieval. A new method for indexing image based on region of intereset. Platform: |
Size: 188416 |
Author:Mohammad |
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Description: 基于积分区域匹配的一种图像聚类算法实现过程研究论文，主要用于基于内容的图像检索。-A region matching based on integral image clustering algorithm process research papers, mainly used for content-based image retrieval. Platform: |
Size: 436224 |
Author:zlq |
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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: 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: 感兴趣区域图像检索，基于matlab开发，能实现感兴趣区域图像检索，匹配-Region of interest image retrieval, based on matlab development, to achieve the region of interest image retrieval, matching Platform: |
Size: 3072 |
Author:lv |
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Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 560128 |
Author:shailesh kochra |
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Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
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Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
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Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
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Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
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Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
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Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
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Description: Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. Platform: |
Size: 1024 |
Author:shailesh kochra |
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Description: 从数据库中下载的几篇基于区域的图像检索论文，包括中文的和外文的。相信对研究图像检索的有帮助。-There are several articles of region-based image retri ,including English and Chinese. Platform: |
Size: 28469248 |
Author:Daisy |
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Search - REGION BASED IMAGE RETRIEVAL