Maria Lolita G. Masangcap
ABSTRACT
An Enhanced EM (EnEM) algorithm was developed through the integration of the concept of firefly movement and light intensity of Firefly Algorithm in its initialization stage. The improved initial parameter selection technique of EnEM algorithm leads to a better clustering performance when applied to image segmentation. The procedure converts first the image from RGB to HSV color space. A saturation threshold function was used in labelling the pixel and performed median filter for post processing to eliminate the noisy pixel to produce the final segmented image. An image segmentation module was developed and different test images were used. Experiments show that the application of EnEM to image segmentation produces lower MSE and higher PSNR which leads to a better segmentation.
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Index Terms
- Application of enhanced expectation maximization (EnEM) algorithm for image segmentation
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