Quick detection method for salient object

A detection method and remarkable technology, which can be used in image data processing, instrumentation, computing, etc., and can solve problems such as low detection efficiency

Active Publication Date: 2012-04-25
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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  • Abstract
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Problems solved by technology

[0003] Liu Tie and others proposed to use the center-surround histogram algorithm (English expression: Center-surround histogram ) for significant object detection and an

Method used

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  • Quick detection method for salient object
  • Quick detection method for salient object
  • Quick detection method for salient object

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Example Embodiment

[0017] In the following, the present invention will be described in detail with reference to the accompanying drawings and combined with preferred specific embodiments.

[0018] Such as figure 1 As shown, the method for quickly detecting a salient object in this embodiment includes the following steps:

[0019] 1. Preliminary tailoring

[0020] Perform preliminary cropping on the original image to be processed, if the length and width of the image are h and w respectively. Cut out the pixels whose horizontal coordinates are in the range of [0, w / 10] and [9w / 10, w] and the vertical coordinates are in the range of [0, h / 10] and [9h / 10, h] in the image. Obtain the image A to be detected, and the length and width of the image A will be reduced to 80% of the original image. In practical applications, the cropping range here can be appropriately selected according to the specific situation, but the length and width of the cropped image should not be less than 80% of the original image. ...

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Abstract

The invention discloses a quick detection method for a salient object. In the method, wavelet transformation is executed on a to-be-detected image many times, the size and the position of the salient object are determined according to high-frequency band data which is obtained through wavelet transformation, and then, an accurate saliency value is obtained through a center-perimeter histogram algorithm, thus, the salient object is detected accurately. In comparison with the prior art, the method provided by the invention has the benefits of high detection efficiency and accurate localization.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a method for fast detection of salient objects. Background technique [0002] The human brain and visual system pay more attention to certain parts of the picture. Visual attention models have been studied for a long time by disciplines such as psychology, physiology, and neuroscientific computer vision. The application of visual attention model is also quite extensive. Such as region-based image retrieval and content-based image compression. There are also the automatic copying of images, the display of images on small display devices, the compression of images and videos, even the design of print advertisements and the collection and browsing of pictures, the analysis of the conversion of 2D images to 3D images, and the retrieval of similar images is becoming increasingly important. A hotspot in the field of image research, saliency maps can also be used for object l...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 王好谦张新徐秀兵戴琼海
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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