Computer Science ›› 2016, Vol. 43 ›› Issue (1): 103-106, 144.doi: 10.11896/j.issn.1002-137X.2016.01.024

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Color and Space Distance Based Salient Region Detection Using Fixed Threshold Segmentation

QIAN Kun, LI Fang and WEN Yi-min   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Against to the problem that the existing salient region detection algorithm based on spatial domain depends on image segmentation algorithm in segmentation of salient region,we proposed an algorithm based on color and space distance for detecting salient region using the fixed threshold segmentation algorithm.By this algorithm,spatial scales are created using dyadic Gaussian pyramids and the color is quantized and image is blocked at each scale.Then,the color and space distance of image patches are calculated in the each scale.Finally the salient region is segmented.Experimental results in the MSRA1000 public database show that the performance of the algorithm is better than others in precision,recall and F-measure.Therefore,the proposed algorithm is comparable to the state-of-art salient region detection algorithms and can segment the salient region simply.

Key words: Salient region detection,Color and space distance,Threshold segmentation

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