Salient region detection method for complex scene

A technology for area detection and complex scenes, applied in the field of computer vision, to achieve the effect of improving the effect

Active Publication Date: 2011-09-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0003] The purpose of the present invention is to solve the defects existing in the extraction of salient areas i

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  • Salient region detection method for complex scene
  • Salient region detection method for complex scene

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Embodiment Construction

[0012] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0013] The present invention is based on the human visual system and wavelet analysis. There may be visual frequency channels that are very sensitive to the image spatial frequency in the human visual path. Each frequency channel is a band-pass filter that is sensitive to different high and low frequency components in turn. Helps the visual system recognize almost all frequency components. The wavelet transform is a common tool for multi-resolution and multi-channel analysis of local changes in signals. Using a set of band-pass filters with different scales and different cut-off frequencies, the image can be decomposed into coefficients of different bandwidth frequencies, which is similar to the human visual system. The theory of the multi-channel filtering model is consistent, and the bandwidth of this group of wavelet filters is the same on ...

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Abstract

The invention belongs to the technical field of computer vision, and discloses a salient region detection method for a complex scene. The method specifically comprises the following steps of: performing wavelet transformation on an input image; establishing a multi-dimensional image; extracting features; and overlapping the features. The invention discloses the salient region detection method for the complex scene on the basis of a conventional Itti model based on a human brain visual processing mechanism. The method, image information is decomposed into a high-frequency component matrix and a low-frequency component matrix by utilizing discrete wavelet transformation; then the multi-dimensional image is established; and an intensity feature pyramid and a direction feature pyramid are extracted from the multi-dimensional image to integrate into a salient image finally. Because of the consideration of detailed information of the image, the detailed detection effect is improved well; and the detection effect is consistent with the observation effect of human eyes so as to meet the vision features of the human eyes better.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a salient area detection method of complex scenes. Background technique [0002] Facing the huge expansion speed of various types of information, how to effectively organize and manage these multimedia information and detect the information you need has become an urgent problem to be solved. We hope to simulate the human visual processing mechanism to quickly and accurately extract these key areas from a large number of redundant, complex scene digital image data with ambiguous content interpretation, and greatly improve the efficiency and accuracy of image analysis and processing. Itti and Koch proposed a classic salient detection model based on the visual attention mechanism - Itti model, see literature: L.Itti, C.Koch, E.Niebur, Amodel of saliency-based visual attention for rapid scene analysis, Pattern Analysis and Machine Intelligence, IEEE Transactions ...

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Application Information

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IPC IPC(8): G06T7/60G06K9/46
Inventor 李永杰杨盼李朝义
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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