Title :
Fuzzy logic supported primary edge extraction in image understanding
Author :
Várkónyi-koczy, A.R. ; Rövid, A.
Author_Institution :
Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Budapest
Abstract :
Recently, the importance of information enhancement methods in digital image processing has increased significantly. A large amount of research has been focused on information retrieval and image understanding. Typical examples are searching for similar objects/images in large databases and understanding the objects in images. The main point of these tasks is to extract the most characteristic features of the objects in the images, like edges, corners, characteristic textures, etc. Another very important aspect can be the separation of the ldquosignificantrdquo and ldquounimportantrdquo parts of these features, i.e. the enhancement of those features which carry primary information and to filter out the part which represents information of minor importance. By this, the complexity of the searching and/or interpreting algorithms can be decreased while the performance increased. This paper describes a new edge processing method which is able to extract the ldquoprimaryrdquo, i.e. those edges which can advantageously be used in sketch based image retrieval algorithms.
Keywords :
edge detection; feature extraction; fuzzy logic; fuzzy set theory; image enhancement; image retrieval; very large databases; digital image processing; features enhancement; fuzzy logic supported primary edge extraction; image retrieval algorithms; image understanding; information enhancement methods; information retrieval; large databases; Fuzzy logic; Fuzzy systems;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630671