Comparing shape descriptor methods for different color space and lighting conditions

Mukhopadhyay, A and Mukherjee, I and Biswas, P (2019) Comparing shape descriptor methods for different color space and lighting conditions. In: Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 33 (4). pp. 389-398.

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Abstract

Detecting and recognizing objects is one of the most important uses of vision systems in nature and is consequently highly evolved. This paper aims to accurately detect an object using its shape and color information from a complex background. 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.

Item Type:	Journal Article
Publication:	Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM
Publisher:	Cambridge University Press
Additional Information:	The copyright for this article belongs to Cambridge University Press.
Keywords:	Human computer interaction; Integrated circuits; Interactive computer systems; Light sources; Man machine systems; Manufacture; Object detection; Printed circuit boards; Testing, Complex background; Design for Manufacturing; False positive and false negatives; Lighting conditions; Printed circuit boards (PCB); Shape detection algorithms; Statistical hypothesis testing; Ycbcr color spaces, Color
Department/Centre:	Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited:	05 Dec 2022 06:30
Last Modified:	05 Dec 2022 06:30
URI:	https://eprints.iisc.ac.in/id/eprint/78228

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