8 June 2012 Image processing with genetic algorithm in a raisin sorting system based on machine vision
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Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83342N (2012) https://doi.org/10.1117/12.956436
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
This study was undertaken to develop machine vision-based raisin detection technology. Supervised color image segmentation using a Permutation-coded Genetic Algorithm (GA) identifying regions in Hue-Saturation-Intensity (HSI) color space (GAHSI) for desired and undesired raisin detection was successfully implemented. Images were captured to explore the possibility of using GAHSI to locate desired raisin and undesired raisin regions in color space simultaneously. In this research, images were processed separately using three segmentation method, K-Means clustering in L*a*b* color space and GAHSI for single image, GA for single image in Red-Green-Blue (RGB) color space (GARGB). The GAHSI results provided evidence for the existence and separability of such regions. When compared with cluster analysis-based segmentation results, the GAHSI method showed no significant difference.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahdi Abbasgholipour, Mahdi Abbasgholipour, Behzad Mohammadi Alasti, Behzad Mohammadi Alasti, Vahdi Abbasgholipour, Vahdi Abbasgholipour, Ali Derakhshan, Ali Derakhshan, Mohammad Abbasgholipour, Mohammad Abbasgholipour, Sharmin Rahmatfam, Sharmin Rahmatfam, Sheyda Rahmatfam, Sheyda Rahmatfam, Rahim Habibifar, Rahim Habibifar, } "Image processing with genetic algorithm in a raisin sorting system based on machine vision", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342N (8 June 2012); doi: 10.1117/12.956436; https://doi.org/10.1117/12.956436
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