文章基本信息

标题：A Survey on Thermal Image Processing Using Ga, ANN and Fuzzy C-Means Algorithm
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作者：Abhishek Ghosh ; Sayantani Bera ; Geetashree Kundu 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：6
页码：9249
DOI：10.15680/IJIRSET.2015.0506082
出版社：S&S Publications
摘要：Use of thermal imaging in medical application is the best method for premature detection of breastcancer. Analysis of thermographs helps in identifying the absurdness in the region. Several image detection policies aredeveloped to access the abnormal sector and different quantitative factors are used for describing it among them ANNsare used for classifying absurdness depending upon the severity. ANN is also used to analyse the chance of predictingnitrogenous content in grass level using thermal techniques, based on the rule that plant harvesting with a higherNitrogen content would be absorbing more optical energy for direct photosynthesis, therefore releasing extra energy asheat into the atmosphere. Advanced method is used to perform the diagnosis of arthritis using thermal images ofdiseased zones. Thermal Image analysis can be used to populate charts that could be used as input generators to fuzzynetwork which assume the presence of arthritis. Next up come the application of genetic algorithm in the field ofthermal image processing. Here authors have shown how to use CGA (continuous Genetic Algorithm) in place oftypical GA which actually works with real numbered outcomes instead of binary strings. Next, concept of printedcircuit board and application of deconvolution in case of GA have been shown. In the following papers innovative andinteresting techniques of segmenting an image have been cited which have used the concept of genetic algorithms forthat purpose.
关键词：CGA; Deconvolution; Rheumatoid arthritis; Aerospace; Mutation.