Title :
Edge Detection of Tobacco Leaf Images Based on Fuzzy Mathematical Morphology
Author :
Pan, Shen ; Kudo, Mineichi ; Toyama, Jun
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
Abstract :
Edge extraction in tobacco leaf images is the key step of tobacco leaf inspection by computer. In order to detect edge and keep detail texture information such as vein, the original tobacco leaf images obtained by a CCD camera are processed by a membership function at first. Then a fuzzy mathematical morphology algorithm is used to detect the edge. Efficiency of edge detection based on the fuzzy mathematic morphology is proved by comparing with the results of the other algorithms under different conditions.
Keywords :
edge detection; fuzzy set theory; image texture; mathematical morphology; edge detection efficiency; edge extraction; fuzzy mathematical morphology; image texture information; tobacco leaf image; Change detection algorithms; Charge coupled devices; Charge-coupled image sensors; Image edge detection; Image segmentation; Immune system; Information science; Inspection; Morphology; Veins;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.529
