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A target saliency detection method for rainy day images

A detection method, a remarkable technology, applied in the field of image processing, can solve problems such as the difficulty of image database, the inability to deeply understand the mechanism of biological visual cognition, and the inability to deeply analyze and study the characteristics of salient objects.

Active Publication Date: 2019-03-01
ANHUI SANLIAN UNIV
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AI Technical Summary

Problems solved by technology

The existing models mainly have the following deficiencies: (1) cannot deeply analyze and study the characteristics of salient objects (2) cannot deeply understand the mechanism of biological visual cognition (3) many models cannot be directly applied or applied with Conditional limitations
At present, many mature and practical methods have been proposed for the saliency detection of targets, and the visual attention model has also been studied in depth. Research needs to go further
In addition, there is no quantitative and effective standard for the classification of rain at present. How to form an image database containing different levels of rain for saliency detection is a difficult problem

Method used

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  • A target saliency detection method for rainy day images
  • A target saliency detection method for rainy day images
  • A target saliency detection method for rainy day images

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Embodiment Construction

[0059] refer to figure 1 , a target saliency detection method for rainy images proposed by the present invention includes the following steps:

[0060] S1. Extract the visual saliency based on brightness and color features, and calculate the brightness saliency map S lc .

[0061] S2. Extract the visual saliency based on the color difference feature, and calculate the color difference saliency map S cv .

[0062] In the prior art, it is commonly used to obtain the contour saliency of the image by detecting the difference in the contour, however, there is still a certain gap for color images. Part of the color information in rainy images will be annihilated by raindrops, but the remaining color information can also determine the saliency detection of the image. For example, for a rainy image, the difference saliency of the image can be calculated using the absorption time of the absorption Markov chain on the color domain.

[0063] S3. Extract the visual saliency based on ...

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Abstract

The invention provides a target saliency detection method for rainy day images. The method comprises the following steps: S1, extracting visual saliency based on luminance and color features, calculating luminance saliency map Slc; S2, extracting visual saliency based on color difference features, and calculating color difference saliency map Scv; S3, extracting the visual saliency based on the dark channel, and calculating the saliency map Sd of the dark channel; S4, mixing the brightness saliency map Slc, the color difference saliency map Scv and the dark channel saliency map Sd to obtain the final saliency map Sfinal, Sfinal=Slc. * Scv-Sd. In the invention, the brightness and color characteristics, the color difference characteristics and the dark channel characteristics of the target in the rainy day image are utilized to extract the saliency characteristics of the target in the rainy day image and construct a target saliency detection model, thereby providing an effective preprocessing method for the image sharpening and the detection of the target in the rainy day.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a target saliency detection method for images in rainy days. Background technique [0002] The visual saliency model has a wide range of applications, and the more mature ones include target detection and segmentation, video analysis, etc. The quality of the saliency detection results plays a crucial role in these applications. Specifically, it can be generally divided into three types: (1) methods based on biological research (2) methods calculated through pure mathematical modeling (3) methods that combine the first two methods. And these methods are bottom-up research. Most of the method research still focuses on the detection and segmentation of salient objects, and is still based on the classic model framework, but the innovation of these methods is based on the improvement of modeling or the difference in feature selection. The existing models mainly have the fol...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/194G06T7/90
CPCG06T7/0002G06T7/12G06T7/194G06T7/90G06T2207/10024
Inventor 陆文骏薛峰李伟左常玲郭丁云吴海燕韦颖
Owner ANHUI SANLIAN UNIV
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