TY - GEN
T1 - SEQM
T2 - 2012 IEEE Visual Communications and Image Processing, VCIP 2012
AU - Jang, Won Dong
AU - Kim, Chang-Su
PY - 2012
Y1 - 2012
N2 - A novel quality metric for binary edge maps, called the structural edge quality metric (SEQM), is proposed in this work. First, we define the matching cost between an edge pixel in a detected edge map and its candidate matching pixel in the ground-truth edge map. The matching cost includes a structural term, as well as a positional term, to measure the discrepancy between the local structures around the two pixels. Then, we determine the optimal matching pairs of pixels using the graph-cut optimization, in which a smoothness term is employed to take into account global edge structures in the matching. Finally, we sum up the matching costs of all edge pixels to determine the quality index of the detected edge map. Simulation results demonstrate that the proposed SEQM provides more faithful and reliable quality indices than conventional metrics.
AB - A novel quality metric for binary edge maps, called the structural edge quality metric (SEQM), is proposed in this work. First, we define the matching cost between an edge pixel in a detected edge map and its candidate matching pixel in the ground-truth edge map. The matching cost includes a structural term, as well as a positional term, to measure the discrepancy between the local structures around the two pixels. Then, we determine the optimal matching pairs of pixels using the graph-cut optimization, in which a smoothness term is employed to take into account global edge structures in the matching. Finally, we sum up the matching costs of all edge pixels to determine the quality index of the detected edge map. Simulation results demonstrate that the proposed SEQM provides more faithful and reliable quality indices than conventional metrics.
KW - Image quality assessment
KW - binary edge map
KW - edge quality assessment
KW - pixel matching
KW - structural similarity
UR - http://www.scopus.com/inward/record.url?scp=84874026898&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874026898&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2012.6410731
DO - 10.1109/VCIP.2012.6410731
M3 - Conference contribution
AN - SCOPUS:84874026898
SN - 9781467344050
T3 - 2012 IEEE Visual Communications and Image Processing, VCIP 2012
BT - 2012 IEEE Visual Communications and Image Processing, VCIP 2012
Y2 - 27 November 2012 through 30 November 2012
ER -