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Method for vehicle positioning and region segmenting in image

A region segmentation and image region technology, applied in the field of image processing, can solve the problems of inability to effectively eliminate the reflective effect of the windshield, uneven illumination and pollution, poor robustness, etc., and achieve the effect of high efficiency and good robustness.

Active Publication Date: 2013-09-25
SUN YAT SEN UNIV +1
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AI Technical Summary

Problems solved by technology

[0006] The current vehicle region segmentation method cannot effectively eliminate the interference of factors such as windshield reflection effect, uneven illumination and pollution during segmentation, and its robustness is poor.

Method used

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  • Method for vehicle positioning and region segmenting in image
  • Method for vehicle positioning and region segmenting in image
  • Method for vehicle positioning and region segmenting in image

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Embodiment Construction

[0060] For ease of understanding, at first the used terminology of the present invention is explained:

[0061] A method of vehicle localization and typical regions segmentation in the image: A method for positioning and segmenting vehicles in an image.

[0062] Sobel operator: The Sobel operator is used to extract the edge of the extracted image.

[0063] refer to figure 1 , a method for locating and segmenting a vehicle in an image, comprising:

[0064] A. Obtain the original image from the acquisition device;

[0065] B. Positioning the vehicle image area in the original image by using the Harris corner point and the horizontal edge straight line segment, so as to obtain the vehicle image after positioning;

[0066] C. Carry out color salient area extraction, salient smooth area extraction, and horizontal edge sparse area and dense area extraction on the vehicle image after positioning;

[0067] D. Locate the typical area of ​​the vehicle according to the extracted resu...

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Abstract

The invention discloses a method for vehicle positioning and region segmenting in an image. The method includes the steps of obtaining an original image from collecting equipment; positioning a vehicle image area in the original image by means of Harris corner points and horizontal edge line segments, and obtaining a positioned vehicle image; carrying out color salient region extraction, smooth salient region extraction, horizontal edge sparse region extraction and horizontal edge dense region extraction of the positioned vehicle image; positioning a typical area of a vehicle according to extraction results and prior knowledge, and therefore segmenting an engine cover area, a vehicle face area and a vehicle window area. According to the method, the vehicle and other vehicles can be positioned at the same time, efficiency is high, accuracy is more than 95%, during area segmentation of the vehicle, interference of factors such as reflective effects of a windshield, nonuniform lighting and pollution can be effective eliminated, and robustness is good. The method can be widely used in the field of image processing.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for locating and segmenting a vehicle in an image. Background technique [0002] With the development of computer technology and sensing technology, vehicle recognition and feature detection technology has become a key technology of intelligent transportation system. Vehicle recognition and feature detection computing technology is based on the processing and analysis of traffic images (including images of vehicles, backgrounds, and road surfaces, etc.). The processing and analysis of traffic images mainly includes three steps: vehicle location, vehicle area segmentation and vehicle feature extraction. The result of vehicle positioning directly affects the accuracy of vehicle area segmentation and vehicle feature extraction, which is a very necessary early step in vehicle identification and feature detection technology; vehicle area segmentation is the basis for subseque...

Claims

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Application Information

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IPC IPC(8): G06K9/46
Inventor 李熙莹陈玲江倩殷
Owner SUN YAT SEN UNIV
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