Method for detecting judgment type visual saliency based on gradient direction histogram

A technology of gradient direction and detection method, applied in the field of computer vision, can solve problems such as low resolution, high computational complexity, and incomplete outline of objects

Active Publication Date: 2013-03-13
SERVICE CENT OF COMMLIZATION OF RES FINDINGS HAIAN COUNTY
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Problems solved by technology

However, these methods all have common obvious disadvantages: low resolution, incomplete contours of extracted objects, and high computational complexity
Unlike biologically-inspired saliency models, these are often purely computational models that, while inspired by the biological concept of central-peripheral differences, are not based on any biological model

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  • Method for detecting judgment type visual saliency based on gradient direction histogram
  • Method for detecting judgment type visual saliency based on gradient direction histogram
  • Method for detecting judgment type visual saliency based on gradient direction histogram

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with accompanying drawing.

[0042] Such asfigure 1 As shown, the specific steps of a decision-based central-peripheral visual saliency detection method based on the gradient direction histogram are as follows:

[0043] Step (1) adopts the color transformation method to extract the l color component map, a color component map and b color component map of the original image in CIELAB space; the color transformation method is a mature technology.

[0044] Step (2) Utilize the sampling points in the central-surrounding calculation structure to count the local gradient direction histogram of each pixel in the l color component map, a color component map and b color component map;

[0045] The central-surrounding calculation structure is three concentric ring structures with different radii, the center of the concentric circles is the center of the pixel points to be counted, and the sampling points are loc...

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Abstract

The invention relates to a method for detecting judgment type visual saliency based on a gradient direction histogram. The convention method has low resolution ratio, incomplete extracted object outline and high computation complexity. The method comprises the following steps of: firstly, extracting a color component diagram of an original image in a CIELAB space by a color transformation method; secondly, counting a local gradient direction histogram of every pixel point in the component diagram by using a sampling point in a central-peripheral computation structure; thirdly, calculating a local saliency judgment vector and a global saliency judgment vector of every pixel point; and finally, obtaining a final saliency judgment result by a linear weighting method. The method of the invention has a stronger response in a visually salient area and has higher inhibiting capacity in other non-salient areas.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a judgment-type central-peripheral visual saliency detection method based on a gradient direction histogram. Background technique [0002] Visual saliency plays an important role in the visual selective attention mechanism. Inspired by the biological visual system, the visual saliency computational model provides a fast and effective method for reducing the computational complexity of computer vision processing, and has been widely used in machine Vision, image processing, intelligent robots and other fields. [0003] Currently, most visual saliency models are based on spatial (bottom-up) or object-based (top-down) processes. The former is based on feature integration theory and central-peripheral hypothesis, and its representative work is the computational model proposed by L.Itti et al. In their model, the input image is decomposed into multiple independent feature ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
Inventor 周文晖楼斌张桦孙志海武二永戴国骏
Owner SERVICE CENT OF COMMLIZATION OF RES FINDINGS HAIAN COUNTY
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