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Image retrieval method based on color and shape features

A shape feature and image retrieval technology, applied in the field of image processing, can solve the problems of inconvenient use and low accuracy of image retrieval methods, and achieve strong robustness, high retrieval precision, and accurate retrieval

Inactive Publication Date: 2010-06-30
SUN YAT SEN UNIV
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Problems solved by technology

[0004] Therefore, the accuracy rate of the image retrieval method in the prior art is not high, and it is also inconvenient to use

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  • Image retrieval method based on color and shape features
  • Image retrieval method based on color and shape features
  • Image retrieval method based on color and shape features

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Embodiment Construction

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0036] The invention provides an image retrieval method based on color and shape features, which can improve retrieval accuracy and is more convenient for users to use.

[0037] Color is the most intuitive feature of an image, and it is also one of the most important perceptual features of image vision. It is not only closely related to the objects and scenes in the image, but also has little dependence on the size, direction, and viewing angle of the image itself. ...

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Abstract

The invention discloses an image retrieval method based on color and shape features. The method comprises that: a sample image is converted and quantized on color and space, the quantized image is divided into blocks, the color complexity of each pixel point of each subblock image is calculated and vision weight is obtained, the percentage of the vision weight of different colors in the vision weight of the subblock image is calculated for each subblock image and a weighting color histogram is obtained. The color feature of each subblock is obtained according to the weighting color histogram. Contour extraction is carried out on the sample image through grey processing. Curvature scale space is adopted to describe the image shape feature of operator extraction after the contour extraction. The extracted color feature and shape feature are normalized and the normalized image feature is obtained. The normalized image feature is matched in an image feature database through an index according to a similarity measurement formula and an index result is obtained. The index method of the invention is more accurate.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image retrieval method based on color and shape features. Background technique [0002] In recent years, with the rapid development of computer technology and network media technology, the way of information expression has gradually changed from the common text form to the form of multimedia information such as graphics, images, animations, and videos. Among them, image, as the most extensive and basic multimedia information, has become an important form of popular digital information, and a large number of various image databases have also been produced, making image management and image retrieval gradually develop into an extremely important research field. . [0003] Because ordinary text-based image retrieval methods need to annotate images, and image annotations are subjective and imprecise, and different people have different understandings of images, so the re...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 罗笑南汪卫星李峰
Owner SUN YAT SEN UNIV
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