Object recognition for industrial image

Author

Licev, Lacezar ; Tomecek, Jan ; Babiuch, Marek

Author_Institution

Dept. of Comput. Sci., VSB Tech. Univ. of Ostrava, Ostrava, Czech Republic

fYear

2014

fDate

28-30 May 2014

Firstpage

320

Lastpage

325

Abstract

The contribution is dealing with the design and implementation of software modules that will assist the user to the advanced recognition of objects of interest, such as the profile of mining and other industrial objects. Modules allow initial adjustment with a broad range of different image filters, which will allow for more precise work of the second module for automatic segmentation, which ensures active contour method with using the Gradient Vector Flow and Fast Marching Level Sets. Both modules are implemented in Java with the JAI framework and are included in the software FOTOM^NG system.

Keywords

edge detection; filtering theory; gradient methods; image segmentation; object recognition; FOTOM^NG system; JAI framework; Java; active contour method; automatic segmentation; fast marching level sets; gradient vector flow; image filters; industrial image; object recognition; software modules; Active contours; Detectors; Image edge detection; Image segmentation; Level set; Noise; Smoothing methods; FOTOM^NG; Java; active contours; digital image processing; edge detection; fast marching; gradient vector flow; image filters; noise reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ICCC), 2014 15th International Carpathian

Conference_Location

Velke Karlovice

Print_ISBN

978-1-4799-3527-7

Type

conf

DOI

10.1109/CarpathianCC.2014.6843620

Filename

6843620