关键词: 背景去除, 阈值分割, 边缘提取, Canny算子

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