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Image retrieval method based on specific attributes of HSV color space

A technology of color space and image retrieval, which is applied in still image data retrieval, still image data index, digital data information retrieval, etc., to achieve the effect of improving image retrieval performance and enriching visual information

Pending Publication Date: 2020-04-21
GUANGXI NORMAL UNIV
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AI Technical Summary

Problems solved by technology

[0004] What the present invention will solve is how to utilize the unique attribute of HSV color space and visual perception mechanism to extract and describe the problem of image feature, provide a kind of image retrieval method based on the unique attribute of HSV color space

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  • Image retrieval method based on specific attributes of HSV color space
  • Image retrieval method based on specific attributes of HSV color space
  • Image retrieval method based on specific attributes of HSV color space

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Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific examples.

[0027] In order to utilize visual perception mechanism better, the present invention proposes a kind of image retrieval method based on the unique attribute of HSV color space according to the unique attribute of HSV color space, and it specifically comprises steps as follows:

[0028] Step 1. First convert the color image from the RGB color space to the XYZ color space, and then convert the color image from the XYZ color space to the LMS color space.

[0029] First, the color image is converted from the RGB color space to the XYZ color space using formula (1).

[0030]

[0031] Then, the color image is converted from the XYZ color space to the LMS color space using formula (2).

[0032]

[0033] In the RGB color space, R represents the red component, G represent...

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Abstract

The invention discloses an image retrieval method based on specific attributes of an HSV color space. Image retrieval is carried out by focusing on the advantages of unique attributes of an HSV colorspace and a visual perception mechanism, a novel image feature expression method of a cylinder feature histogram is provided, and color information and edge features in the HSV color space can be usedfor expressing image content. The cylinder characteristic histogram can be regarded as an important improvement of a histogram description method; the histogram can be used for expressing color, texture, shape and spatial characteristics; compared with the prior art, the method provided by the invention not only has the advantages of the histogram-based method, but also absorbs the advantages ofthe histogram-based method, and is more consistent with visual perception factors such as spatial layout, different color affiliation relationships and edge clues, so that the method is specially usedfor feature analysis and content-based image retrieval and has richer visual information, and the image retrieval performance can be obviously improved.

Description

technical field [0001] The invention relates to the technical field of image retrieval, in particular to an image retrieval method based on the unique attributes of the HSV color space. Background technique [0002] Color is an important visual attribute, which provides a series of information about images, and is widely used in pattern recognition, content-based image retrieval (CBIR), computer vision and color image processing and other fields. Although, color properties are invariant to background, scale changes, and orientation, in many cases reducing the number of colors does not affect the human ability to recognize image content. However, color and edge features are closely related to visual perception and are suitable for describing the content of natural images. The HSV color space simulates human color perception very well. It can be understood as a cylinder, and the volume of the cylinder can be easily calculated. The salient information contained in the HSV col...

Claims

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Application Information

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IPC IPC(8): G06F16/51G06F16/583
CPCG06F16/51G06F16/5838
Inventor 刘广海
Owner GUANGXI NORMAL UNIV
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