Title :
A performance measure of boundary detection algorithms
Author :
Palmer, P.L. ; Dabis, H.S. ; Kittler, J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
Abstract :
In this paper we derive a quality measure for analysing the performance of algorithms which seek to find boundaries and boundary models between regions of differing mean grey-level value. The measure can be used to compare different approaches and, more importantly, it can also be used as a first step to building self-optimising vision systems that can automatically optimise important parameters at each level of the system
Keywords :
edge detection; boundary detection algorithms; mean grey-level value; parameter optimisation; performance measure; quality measure; self-optimising vision systems; Algorithm design and analysis; Area measurement; Detection algorithms; Electric variables measurement; Image edge detection; Image segmentation; Kernel; Machine vision; Performance analysis; System testing;
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
DOI :
10.1109/ICPR.1994.576217
