Hierarchical complexity measures for effective shape-based image retrieval
نویسندگان
چکیده
منابع مشابه
Shape measures for image retrieval
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obtaining shape information (in particular avoiding region segmentation) we develop several shape measures that tackle the problem in an indirect manner, requiring only a minimal amount of segmentation. A histogram-based s...
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relies critically on the ability to find effective image features to represent the database images. The shape of an object is a fundamental image feature and belongs to one of the most important image features used in CBIR. In this article we propose a robust and effective shape feature known as the compound image descriptor (CID), which combines the Fourier transform (FT) magnitude and phase c...
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Shape-based Image Retrieval By Aditya Vailaya Retrieval e ciency and accuracy are two important issues in designing a contentbased database retrieval system. We propose a new image database retrieval method based on shape information. This system achieves both the desired e ciency and accuracy using a two-stage hierarchy: in the rst stage, simple and easily computable statistical shape features...
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Content-Based Image Retrieval (CBIR) systems have been developed aiming at enabling users to search and retrieve images based on their properties such as shape, color and texture. In this paper, we are concerned with shapebased image retrieval. Here, we discuss a recently proposed shape descriptor, called contour saliences, defined as the influence areas of its higher curvature points. This pap...
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ژورنال
عنوان ژورنال: SCIENTIA SINICA Informationis
سال: 2017
ISSN: 1674-7267
DOI: 10.1360/n112016-00156