Title :
Research on Hole Counting Formula for Binary Images
Author :
Su Haiming ; Lin Xiaozhu
Author_Institution :
Inf. Eng. Sch., Beijing Inst. of Petrochem. Technol., Beijing, China
Abstract :
Image holes can be a direct refection of digital image complexity. We propose a hole counting formula for binary images which is the microscopical exhibition of image hole nature. Based on image Euler Number formula, the formula is proved and a new approach is proposed to count image holes. Our intensive experiments show the correctness of the hole counting formula and the feasibility of the approach.
Keywords :
computational complexity; image processing; binary images; digital image complexity; hole counting formula; image Euler Number formula; Chemical technology; Digital images; Educational institutions; Face detection; Filling; Image analysis; Information science; Microscopy; Petrochemicals; Pixel;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5364100
