Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (1): 208-211.

• 图形、图像、模式识别 • Previous Articles     Next Articles

Improved background removal based on Canny algorithm and threshold segmentation

CAO Lu, DAI Qingyun, PAN Qing   

  1. College of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China

  • Received:1900-01-01 Revised:1900-01-01 Online:2012-01-01 Published:2012-01-01


曹 璐,戴青云,潘 晴   

  1. 广东工业大学 信息工程学院,广州 510006

Abstract: In the design pattern image retrieval system, background removal is the important step of image normalization when the image is reprocessed. An improved algorithm of Canny operator combined with threshold segmentation is introduced, considering the properties of image in the design pattern image database, that is variety, complexity and randomicity. Through an adaptive threshold segmentation based on sampling with color to acquire the threshold, it combines with Canny operator and morphological method to get the foreground object segmentation template. The experiment shows that the algorithm introduced in this paper generates more accurate contour of foreground objects in contrast with the algorithm not being improved. For image segmentation of design pattern image retrieval specially, this algorithm shows good adaptability.

Key words: background removal, threshold segmentation, edge extraction, Canny operator



关键词: 背景去除, 阈值分割, 边缘提取, Canny算子