%0 Journal Article %1 koppen:1997:dixaGP %A Koppen, Mario %A Nickolay, Bertram %D 1999 %J Fuzzy Sets and Systems %K Agent Decision Image Pattern algorithms, design, genetic making processing, programming recognition; understanding, %N 103 %P 303--315 %R doi:10.1016/S0165-0114(98)00230-9 %T Design of Image Exploring Agent using Genetic Programming %U http://www.elsevier.com/locate/fss %V 2 %X This paper presents a new methodology for the design of image processing algorithms. The presented approach is based on the conception and design of "image exploring agents". Image exploring agents iteratively run a sense-compute-act loop. While all loop processing is performed within the image on a local base, the trace of the agent, which results from the repetition of this loop, is a global image property. Hence, a given global recognition task is represented by a corresponding task of finding a suitable, local-based computation. The exploitation of genetic programming for finding suitable computational parts of the agent is considered. A case study is included, in which a crack detector is designed and improved by means of an image exploring agent. The functionality of this agent is studied, and it is used for designing an image processing algorithm for crack detection. Also, further improvements of the presented agent concept are given in this paper. c 1999 Elsevier Science B.V. All rights reserved.

@article{koppen:1997:dixaGP, abstract = {This paper presents a new methodology for the design of image processing algorithms. The presented approach is based on the conception and design of {"}image exploring agents{"}. Image exploring agents iteratively run a sense-compute-act loop. While all loop processing is performed within the image on a local base, the trace of the agent, which results from the repetition of this loop, is a global image property. Hence, a given global recognition task is represented by a corresponding task of finding a suitable, local-based computation. The exploitation of genetic programming for finding suitable computational parts of the agent is considered. A case study is included, in which a crack detector is designed and improved by means of an image exploring agent. The functionality of this agent is studied, and it is used for designing an image processing algorithm for crack detection. Also, further improvements of the presented agent concept are given in this paper. c 1999 Elsevier Science B.V. All rights reserved.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Koppen, Mario and Nickolay, Bertram}, biburl = {https://www.bibsonomy.org/bibtex/2f33efaa000db66f06f162b597cad7da9/brazovayeye}, doi = {doi:10.1016/S0165-0114(98)00230-9}, interhash = {e3ae49e8e952861ad9874d1b995ec325}, intrahash = {f33efaa000db66f06f162b597cad7da9}, journal = {Fuzzy Sets and Systems}, keywords = {Agent Decision Image Pattern algorithms, design, genetic making processing, programming recognition; understanding,}, month = {16 April}, note = {Special Issue on Softcomputing}, number = 103, pages = {303--315}, timestamp = {2008-06-19T17:43:37.000+0200}, title = {Design of Image Exploring Agent using Genetic Programming}, url = {http://www.elsevier.com/locate/fss}, volume = 2, year = 1999 }