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Graph image classification method based on color space characteristics

A classification method and image technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as low discrimination accuracy, misjudgment of solid color background images as graphics, poor robustness, etc., to achieve automatic selection and classification Improvement of precision and improvement of production efficiency

Inactive Publication Date: 2012-09-12
TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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AI Technical Summary

Problems solved by technology

The disadvantage of existing classification methods is that the robustness of a single feature is poor, and the discrimination accuracy is low: a large-area solid-color background image is misjudged as a graphic; a graphic with complex texture information is misjudged as an image

Method used

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  • Graph image classification method based on color space characteristics
  • Graph image classification method based on color space characteristics
  • Graph image classification method based on color space characteristics

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Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with the accompanying drawings and through specific embodiments. The following embodiments are only descriptive, not restrictive, and cannot limit the protection scope of the present invention.

[0052] figure 1 A flowchart showing the method and steps of the method for automatically selecting a rendering intent after classifying an input image according to the present invention. Such as figure 1 As shown, the method for automatically selecting a rendering intent after classifying an input image according to an embodiment of the present invention includes the following steps: S102, extracting features; S104, classifying by a classifier; S106, selecting a corresponding rendering intent according to the classification result.

[0053] Among them, see figure 2 , when extracting features, it is first necessary to select one or more classification feature combinations, S102-2. The extracted fe...

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Abstract

The invention relates to a classification method used for a natural picture and a computer graph. The method comprises the following steps of: (1) inputting an image, extracting an input image characteristic, choosing the image characteristic which is subjected to calculation according to a conventionally known calculation method, and obtaining a characteristic value of the above image characteristic; (2) comparing the obtain characteristic value of a single image characteristic or the combination of a plurality of image characteristics with a preset threshold of each chosen image characteristic, employing a classifiers to carry out classification to judge a type of the input image, and obtaining a classification result; (3) selecting a corresponding processing method according to the classification result, and after the classification result judges the input image as the natural picture or the computer graph, employing each corresponding color gamut mapping mode of rendering intent respectively. According to the method, the automatic classification of the natural picture and the computer graph and the automatic selection of the rendering intent are realized, the operation of color management software is simplified, and the display or print quality of the image is markedly raised.

Description

technical field [0001] The invention belongs to the field of digital image processing, and relates to a graphic image classification method, in particular to a classification method based on color space features. Background technique [0002] In the process of color management, in order to realize the accurate transmission and reproduction of colors between different devices, it is necessary to convert and match the color space. However, due to the large differences between the color spaces of different devices, when performing color gamut mapping , it is often encountered that the color gamut of the source device is larger than the color gamut of the output device, and we call the part where the color gamut of the source device is larger than the color gamut of the output device called an out-of-gamut color. In order to better reproduce colors outside the color gamut, the International Color Consortium ICC provides people with four reproduction intentions, namely perceptual...

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Application Information

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IPC IPC(8): G06K9/66G06N3/08
Inventor 蔡圣燕聂旋郭淑勤
Owner TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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