论文信息 - Color Image Segmentation by NSGA-II Based ParaOptiMUSIG Activation Function

Color Image Segmentation by NSGA-II Based ParaOptiMUSIG Activation Function

Based on different criteria any real life problem generates a set of alternative solutions instead of a single optimal solution. Color image segmentation by single objective based parallel optimized MUSIG (ParaOptiMUSIG) activation function may or may not render better solutions for different objective functions. To overcome this problem, a non-dominated sorting genetic algorithm-II (NSGA-II) based ParaOptiMUSIG activation function is proposed in this article to segment color images. Segmentation is achieved using optimized class responses from the image content with a parallel self organizing neural network (PSONN) architecture. Some standard objective functions which are used to assess the quality of the segmented images forms the NSGA-II based image segmentation method.

Siddhartha Bhattacharyya | Susanta Chakraborty | Sourav De

[1] Siddhartha Bhattacharyya,et al. Color image segmentation using parallel OptiMUSIG activation function , 2012, Appl. Soft Comput..

[2] Ujjwal Maulik,et al. Self organizing neural network (SONN) based gray scale object extractor with a multilevel sigmoidal (MUSIG) activation function , 2008 .

[3] Ujjwal Maulik,et al. A multiobjective approach to MR brain image segmentation , 2011, Appl. Soft Comput..

[4] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .

[5] Hui Zhang,et al. An entropy-based objective evaluation method for image segmentation , 2003, IS&T/SPIE Electronic Imaging.

[6] Siddhartha Bhattacharyya,et al. Please Scroll down for Article International Journal of Parallel, Emergent and Distributed Systems Efficient Grey-level Image Segmentation Using an Optimised Musig (optimusig) Activation Function Efficient Grey-level Image Segmentation Using an Optimised Musig (optimusig) Activation Function , 2022 .

[7] R. K. Ursem. Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[8] Ujjwal Maulik,et al. Multilevel Activation Functions For True Color Image Segmentation Using a Self Supervised Parallel Self Organizing Neural Network (PSONN) Architecture: A Comparative Study , 2007 .