Image edge detection of wood defects based on multi-fractal analysis

Author

Mu, Hongbo ; Qi, Dawei ; Zhang, Mingming ; Yu, Lei

Author_Institution

Dept. of Phys., Northeast Forestry Univ., Harbin

fYear

2008

fDate

1-3 Sept. 2008

Firstpage

1232

Lastpage

1237

Abstract

A reliable detection method for X-ray image of wood with defects based on the multi-fractal analysis was presented in the paper. Adopting singular Holder index and multi-fractal spectrum theory and computing the singular value and multi-fractal spectrum of each pixel point of image edges of wood defects in order that the images were identified easily. According to the experimental results, the given algorithm can reduce unimportant edge information, while it also keeps some important detail information of the image well by correction of the measure. It is useful and current method for image processing. This study lays a foundation for automatic recognition. It is significant for the modern wood processing and utilization.

Keywords

X-ray imaging; edge detection; fractals; wood; X-ray image; automatic recognition; edge information; image edge detection; image processing; multifractal analysis; multifractal spectrum; singular Holder index; wood defects; Cameras; Fluorescence; Fractals; Heart; Image analysis; Image edge detection; Image texture analysis; Signal analysis; X-ray detection; X-ray imaging; Edge detection; Multi-fractal; Singular value; Wood defects; X-ray;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-2502-0

Electronic_ISBN

978-1-4244-2503-7

Type

conf

DOI

10.1109/ICAL.2008.4636340

Filename

4636340