425 - Fuzzy based image processing for robotic vision
Cojocaru D., Tanasie R.
Abstract
Robotics applications concerning computer vision may encounter problems that are vague or ambiguous or need simultaneous approaches in solving. This paper presents some fuzzy algorithms as an alternative solution to this kind of problems. It focuses on the general presentation of the designed fuzzy algorithms for grayscale images. Image enhancement, edge detection, edge following, thresholding and image segmentation are the main image operations envisaged. The application is implemented as a software module developed in C++. As it is structured on “specialized” functions (small parts that compute specific tasks), the implementation of needed algorithms makes the adding of further functions (algorithms) easier. The new functions wouldn’t need to be fully implemented because they make use of some parts of those algorithms that were already implemented, only the specific part of the new tool having to be created at that time.
Citation
Cojocaru D.; Tanasie R.: Fuzzy based image processing for robotic vision, CD-ROM Proceedings of the Thirtheenth International Congress on Sound and Vibration (ICSV13), July 2-6, 2006, Vienna, Austria, Eds.: Eberhardsteiner, J.; Mang, H.A.; Waubke, H., Publisher: Vienna University of Technology, Austria, ISBN: 3-9501554-5-7
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