Title :
Bowstring-based dual-threshold computation method for adaptive Canny edge detector
Author :
Xiangdong Liu ; Yin Yu ; Bing Liu ; Zhen Li
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu´s method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.
Keywords :
edge detection; gradient methods; image segmentation; search problems; GMH; Otsu method; ROC curve evaluation method; adaptive Canny edge detector; adaptive acquisition; adaptive-searching; bowstring-based dual-threshold computation method; gradient magnitude histogram; low-/high-threshold; receiver operating characteristics; unimodal hysteresis thresholding; Adaptive systems; Detectors; Histograms; Hysteresis; Image edge detection; Shape; Testing; Adaptive dual-threshold computation; Canny edge detector; Gradient magnitude histogram (GMH); Unsupervised hysteresis thresholding;
Conference_Titel :
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
Conference_Location :
Wellington
Print_ISBN :
978-1-4799-0882-0
DOI :
10.1109/IVCNZ.2013.6726985