International Journal of Scientific Research and Engineering Development

International Journal of Scientific Research and Engineering Development


( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175

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Perceptual Based Color Image Segmentation and Object Detection Through a BBO Algorithm Modified With Evolutionary Strategy



    International Journal of Scientific Research and Engineering Development (IJSRED)

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Published Issue : Volume-4 Issue-2
Year of Publication : 2021
Unique Identification Number : IJSRED-V4I2P49
Authors : S.Berlin Shaheema, Dr.J.Jasper
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Abstract :

Color image segmentation is one of the challenging problems in image analysis and pattern recognition. It can be treated as a process of dividing a color image into regions with some coherent internal properties and each region is homogeneous. This paper addresses a perceptual based color image segmentation approach using a Biogeography based optimization (BBO) algorithm combined with Evolutionary Strategy (ES), which exploits the structurally challenging objects based on color, texture, edge information and saliency map in the CIE L*a*b color space. The color and texture of each segment does not typically exhibit uniform geometric characteristics in the segmentation of natural scenes. The proposed approach combines knowledge of human perception based on Gestalt law with an understanding of signal characteristics in order to segment natural scenes into perceptually uniform regions. The objects are grouped together without depending on a priori knowledge of the structurally challenging objects. The experimental results show that the proposed method outperformed the current state-of-the-art image segmentation approaches and achieved accurate segmentation quality on natural scene in terms of both qualitative and quantitative assessment.