Proceedings ArticleDOI
Non-dominated sorting genetic algorithm — II supported neural network in classifying forest types
Sankhadeep Chatterjee,Soumen Banerjee,Kaustav Guha Mazumdar,Soumyadip Bose,Soumya Sen +4 more
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TLDR
Experimental results have indicated that the proposed NN-NSGA-II model is superior to the GA-NN model to a greater extent.Abstract:
Pixel classification in land scape images has been found to be challenging. The problem becomes more challenging in forest images due to the similar spectral features of pixels situated close to each other. Geographically weighted variables have been employed to classify the two different species namely Cryptomeria japonica (Japanese Cedar or Sugi) and Chamaecyparisobtusa (Japanese Cypress or Hinoki) and one mixed forest class. Previous attempts have shown reasonable improvement in this task using Genetic Algorithm supported Neural Network over other traditional approaches. Motivated by this, a NSGA — II supported Neural Network (NN-NSGA — II) classifier is proposed. The proposed model has been compared with GA-NN (ANN trained with Genetic Algorithm with a single objective function) classifiers in terms of confusion matrix based performance metrics such as accuracy, precision, recall and F-Measure. Experimental results have indicated that the proposed NN-NSGA-II model is superior to the GA-NN model to a greater extent.read more
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Proceedings ArticleDOI
Detection of skin disease using metaheuristic supported artificial neural networks
Shouvik Chakraborty,Kalyani Mali,Sankhadeep Chatterjee,Soumen Banerjee,Kaustav Guha Mazumdar,Mainak Debnath,Pikorab Basu,Soumyadip Bose,Kyamelia Roy +8 more
TL;DR: Experimental results clearly show the superiority of the proposed NN-NSGA-II model with different features, which has been evaluated using various performances measuring metrics such as accuracy, precision, recall and F-measure.
Proceedings ArticleDOI
Image based skin disease detection using hybrid neural network coupled bag-of-features
Shouvik Chakraborty,Kalyani Mali,Sankhadeep Chatterjee,Sumit Anand,Aavery Basu,Soumen Banerjee,Mitali Das,Abhishek Bhattacharya +7 more
TL;DR: Experimental results indicated towards the superiority of the proposed bag-of-features enabled NN-NSGA-II model in terms of testing phase confusion matrix based performance measuring metrics.
Journal ArticleDOI
Soil moisture quantity prediction using optimized neural supported model for sustainable agricultural applications
TL;DR: A modified Flower Pollination Algorithm has been employed to train Artificial Neural Network to predict soil moisture quantity and the proposed method is compared with well known PSO supported ANN and Cuckoo Search supported ANN along with MLP-FFN classifier.
Proceedings ArticleDOI
Biomedical image enhancement based on modified Cuckoo Search and morphology
Mousomi Roy,Shouvik Chakraborty,Kalyani Mali,Sankhadeep Chatterjee,Soumen Banerjee,Agniva Chakraborty,Rahul Biswas,Jyotirmoy Karmakar,Kyamelia Roy +8 more
TL;DR: This work describes an method for biomedical image enhancement using modified Cuckoo Search Algorithm with some Morphological Operation and a new technique has been proposed to enhance biomedical images using modified cuckoo search algorithm and morphological operation.
Proceedings ArticleDOI
Gradient approximation in retinal blood vessel segmentation
TL;DR: A gradient-based blood vessel segmentation technique is proposed to assist retinal image analysis and to extract the retinal vessels and it outperformed the corresponding values obtained by the other standard edge detectors, namely Sobel, Prewitt, Canny, and Robert's.
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