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Human eye fixation point extracting method combining global colors and local structure features

A technology of local structure and extraction method, applied in computer parts, acquisition/recognition of eyes, instruments, etc., can solve the problems of high computational complexity and inaccurate prediction, so as to improve accuracy and robustness, and improve accuracy. , the effect of reducing computational complexity

Active Publication Date: 2018-10-12
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] In order to solve the deficiencies in the prior art, the present invention provides a human eye gaze point extraction method that combines global color and local structural features, which solves the problems of high computational complexity and inaccurate prediction in the current human eye gaze point extraction method

Method used

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  • Human eye fixation point extracting method combining global colors and local structure features
  • Human eye fixation point extracting method combining global colors and local structure features
  • Human eye fixation point extracting method combining global colors and local structure features

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0050] Such as figure 1 As shown, a human eye gaze point extraction method combining global color and local structural features, including steps:

[0051] Step 1, read in the current image I to be detected;

[0052] Step 2. The image I to be detected is uniformly quantized in the RGB color space to all pixel colors in the image to extract global color features, and the global saliency map is calculated in the entire image based on the color contrast, specifically including the following steps:

[0053] a) using a bilinear interpolation method to scale the image I to a size of 64×64 pixels in width and height;

[0054] b) Extract the three color channels of RGB respectively, and in each color ...

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Abstract

The invention discloses a human eye fixation point extracting method combining global colors and local structure features. The human eye fixation point extracting method comprises the following steps:reading an image to be detected; uniformly quantizing pixel colors in an image in an RGB color space in order to extract global color features; calculating a global saliency map in the entire image range based on a color contrast degree; then, extracting the brightness information of the image; calculating a local regression kernel of each pixel in a brightness channel in order to extract the local structure features; calculating a local saliency map in a local range based on a structural contrast degree; and finally, fusing the global color saliency map and the local structure saliency map to obtain an initial human eye significance degree graph, adjusting the initial human eye significance degree graph in conjunction with center prior, and performing Gaussian filter to obtain a final human eye fixation point position. In conjunction with the image saliency map obtained by the global color features and the local structure features, the significance information in the image is expressed better, and the accuracy and robustness of human eye fixation point extraction are improved.

Description

technical field [0001] The invention relates to the technical field of automatic analysis of saliency regions in image processing, in particular to a human eye gaze point extraction method combining global color and local structural features. Background technique [0002] The automatic analysis and extraction technology of the human eye gaze point in the image is a research hotspot in the field of image processing and analysis in recent years. The human eye gaze point in the image is defined as the most attractive position and area in the image. In robot navigation, fast scene It has important applications in image analysis, image quality evaluation, and video optimization coding. [0003] At present, the automatic analysis and extraction methods of human eye gaze points in images can be roughly divided into two categories: one is based on task or high-level semantic feature-driven top-down (Top-down) method, and the other is based on low-level or middle-level Bottom-up app...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/193G06V40/18G06V10/56
Inventor 崔子冠吴依珂陈赐宗谭欣刘峰
Owner NANJING UNIV OF POSTS & TELECOMM
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