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In particular, we evaluated our algorithm to detect 19 different integrated circuits (IC) from 10 different printed circuit boards (PCB) of different colors. We have compared three different shape descriptors for four different color space models. We have evaluated shape detection algorithms in different lighting conditions (indoor, outdoor, and controlled light source) to find suitable illumination for image acquisition. We undertook statistical hypothesis testing to find the effect of color space models and shape descriptors on the accuracy, false positive and false negative rates. While measuring accuracy, we have noted that L*a*b* color space is significantly worse, and the best result is obtained in YCbCr color space using bounding box shape descriptors for 2500 Lux using LED.<\/jats:p>","DOI":"10.1017\/s0890060419000398","type":"journal-article","created":{"date-parts":[[2019,12,4]],"date-time":"2019-12-04T06:48:21Z","timestamp":1575442101000},"page":"389-398","source":"Crossref","is-referenced-by-count":7,"title":["Comparing shape descriptor methods for different color space and lighting conditions"],"prefix":"10.1017","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4341-0523","authenticated-orcid":false,"given":"Abhishek","family":"Mukhopadhyay","sequence":"first","affiliation":[]},{"given":"Imon","family":"Mukherjee","sequence":"additional","affiliation":[]},{"given":"Pradipta","family":"Biswas","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2019,12,4]]},"reference":[{"key":"S0890060419000398_ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995678"},{"key":"S0890060419000398_ref35","first-page":"1407","article-title":"Concurrent object recognition and segmentation by graph partitioning","volume":"1","author":"Stella","year":"2002","journal-title":"Advances in Neural Information Processing Systems"},{"key":"S0890060419000398_ref33","unstructured":"Shasani SS , Meher RR and Patra MK (2015) Color and Shape Recognition, Bachelor of Technology Thesis, Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India."},{"key":"S0890060419000398_ref32","first-page":"301","volume-title":"Iberoamerican Congress on Pattern Recognition","author":"Scandaliaris","year":"2007"},{"key":"S0890060419000398_ref31","unstructured":"Rasouli A and Tsotsos JK (2017) The effect of color space selection on detectability and discriminability of colored objects. arXiv preprint arXiv:1702.05421."},{"key":"S0890060419000398_ref28","doi-asserted-by":"publisher","DOI":"10.1016\/0146-664X(80)90047-7"},{"key":"S0890060419000398_ref26","doi-asserted-by":"publisher","DOI":"10.1109\/34.917571"},{"key":"S0890060419000398_ref24","first-page":"1908","article-title":"Research on machine vision system for inspection of SMT chip pins","volume":"18","author":"Liu","year":"2007","journal-title":"China Mechanical Engineering"},{"key":"S0890060419000398_ref23","unstructured":"Kyo S , Koga T , Okazaki S , Uchida R , Yoshimoto S and Kuroda I (2003) A 51.2 GOPS scalable video recognition processor for intelligent cruise control based on a linear array of 128 4-way VLIW processing elements. 2003 IEEE International Solid-State Circuits Conference, 2003. 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