TY - GEN
T1 - Gradient-threshold edge detection based on perceptually adaptive threshold selection
AU - Wan, Shuai
AU - Yang, Fuzheng
AU - He, Mingyi
PY - 2008
Y1 - 2008
N2 - Despite the prevalence of conventional methods for gradient-threshold edge detection, the underlying global threshold is not adaptive to the image content with respect to the human perception. To address the inherent challenges, local thresholds are adaptively selected in this paper taking into account the activity masking characteristic of the human visual system. The selected local thresholds are then utilized for edge labeling in the gradient image. Extensive experimental results have demonstrated the effectiveness of the proposed method for edge detection in perceptual quality.
AB - Despite the prevalence of conventional methods for gradient-threshold edge detection, the underlying global threshold is not adaptive to the image content with respect to the human perception. To address the inherent challenges, local thresholds are adaptively selected in this paper taking into account the activity masking characteristic of the human visual system. The selected local thresholds are then utilized for edge labeling in the gradient image. Extensive experimental results have demonstrated the effectiveness of the proposed method for edge detection in perceptual quality.
UR - https://www.scopus.com/pages/publications/51949094485
U2 - 10.1109/ICIEA.2008.4582665
DO - 10.1109/ICIEA.2008.4582665
M3 - 会议稿件
AN - SCOPUS:51949094485
SN - 9781424417186
T3 - 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
SP - 999
EP - 1002
BT - 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
T2 - 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Y2 - 3 June 2008 through 5 June 2008
ER -