Title :
Moment Invariants Based on SUSAN Initial Edge Response
Author :
Guo Ping Xiong ; Jian Gang Tang
Author_Institution :
Shanghai Med. Instrum. Coll., Shanghai, China
Abstract :
In view of problem that it usually lacks of fusion depth to combine moment invariants with other extraction technology on local invariant features, this article proposes the moment invariants based on SUSAN initial edge response, which provides a sort of organic integration for moment invariants and SUSAN edge detection algorithm. The combination point is to treat SUSAN initial edge response matrix as gray scale matrix, then to calculate its corresponding moment invariants. Experiments show that the recall and precision of retrieval algorithm based on the above moment invariants will become satisfied as soon as the quality of retrieval results reaches to a critical value, and the moment invariants reflect certain invariance about affine transformation and illumination change.
Keywords :
edge detection; feature extraction; image fusion; image retrieval; matrix algebra; SUSAN edge detection algorithm; SUSAN initial edge response matrix; affine transformation; fusion depth; gray scale matrix; illumination change; local invariant feature extraction technology; moment invariants; retrieval algorithm; smallest univalue segment assimilating nucleus; Algorithm design and analysis; Brightness; Feature extraction; Image edge detection; Image retrieval; Noise; (SUSAN) smallest univalue segment assimilating nucleus; (USAN) univalue segment assimilating nucleus; global invariant features; image retrieval; initial edge response; local invariant features; moment invariants;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.20