EVALUATION OF PARAMETERS OF IMAGE SEGMENTATION ALGORITHMS-JSEG & ANN
Amritpal Kaur, Amandeep Kaur · 2014
In this paper image segmentation using JSEG and Artificial neural networks is proposed. JSEG is applied to provide characterization as well as classification. ANN is used for pattern recognition. Several parameters are introduced to calculate and measure the performance of the system. These parameters include Mean square error, Peak signal to noise ratio (PSNR), Computational Time. All these parameters are evaluated and compare with both segmentation methods- ANN and JSEG. Moreover, to check the performance of ANN, several parameters are calculated like Epochs, Time, Gradient, learning rate. By comparing all these parameters, we can evaluate the process of segmentation for natural scene images. All simulations are performed in Matlab using NNT (Neural Network Toolbox).