Volume : IV, Issue : XII, December - 2014

Discrimination of Mine–Like Objects in Infrared Images Using Artificial Neural Network

G. Suganthi, Dr. Reeba Korah

Abstract :

An artificial neural network (ANN) model with a simple architecture containing a single hidden layer is presented to discriminate the mine–like objects from the acquired infrared images. The proposed method consists of preprocessing, segmentation, feature extraction and ANN based classification. Texture features based on gray level co–occurrence matrix (GLCM) are considered as inputs to the neural network classifier. The proposed method is tested on the infrared images acquired from two different soil types namely black cotton soil and sand.The ability of the back propagation neural network in discriminating the mine like objects from the clutters in the infrared images acquired from inhomogeneous soil is discussed. The results are encouraging.

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

G.SUGANTHI,Dr.REEBA KORAH Discrimination of Mine-Like Objects in Infrared Images Using Artificial Neural Network Indian Journal of Applied Research, Vol.4, Issue : 12 December 2014

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