DocumentCode
1894327
Title
Improved bwmorph Function in the MATLAB Image Processing Toolbox for Fast Computation of Repeated Morphological Dilations and Erosions
Author
Bao, Meihua ; Guo, Siyu ; Wang, Yaonan ; Tang, Qiu
Author_Institution
Dept. of Pharmacy, Changsha Med. Univ., Changsha, China
Volume
1
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
625
Lastpage
628
Abstract
In applications, morphological operations such as dilation and erosion are executed consecutively for a number of times. Direct use of the existing MATLAB functions for this task is time consuming. To accelerate such repeated dilations and erosions, improving measures are proposed. Binary image pixels are categorized into open feature pixels, closed feature pixels, and background pixels. By introducing a status matrix storing the category of each pixel and manipulating an open pixel list, each single operation of the repeated dilations or erosions is restricted on those pixels where the operation has real effects, and thus eliminate redundant and unnecessary computations. Experimental results show that the proposed approach is effective, and the repeated operations are significantly accelerated.
Keywords
image morphing; mathematical morphology; mathematics computing; matrix algebra; MATLAB image processing toolbox; background pixel; binary image pixel; bwmorph function; closed feature pixel; mathematical morphology; open feature pixel list; repeated morphological dilation; repeated morphological erosion; status matrix; Acceleration; Focusing; Image processing; Image segmentation; MATLAB; Morphological operations; Morphology; Pixel; Shape; Table lookup; MATLAB; dilation; erosion; image processing; mathematical morphology;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.156
Filename
5287575
Link To Document