Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Color image segmentation based on improved sine cosine optimization algorithm Subject The topic of the resource Color image segmentation; Enhanced sine cosine algorithm; Metaheuristics algorithm; Particle swarm optimization; PSNR Description An account of the resource Segmentation refers to the process of dividing an image into multiple regions based on some criteria such as intensity and color. In recent years, color image segmentation has received considerable attention from the researchers. However, it is still a highly complicated task due to the presence of more attributes or components as compared to monochrome images. Numerous meta-heuristics algorithms are developed to determine the optimal threshold value for segmenting color images efficiently. This paper presents an enhanced sine cosine algorithm (ESCA) to seek threshold for segmenting color images. Sine cosine algorithm (SCA) is a population-based optimization algorithm which has the ability of preventing local minima problem. First an input image is transformed to CIE L*a*b* color reduced space. ESCA is applied to determine the optimal threshold values for segmentation. The performance of the proposed method is tested on color images from Berkeley database, and segmentation results are compared with two metaheuristic algorithms, namely particle swarm optimization (PSO) and standard SCA. Experimental results are validated by measuring peak signalnoise ratio (PSNR), structural similarity index and computation time for all the images investigated. Results revealed that the proposed method outperforms the other methods like PSO and SCA by achieving PSNR of 23dB and SSIM of 0.93 and also require less time for finding optimal threshold values than PSO and SCA. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. Creator An entity primarily responsible for making the resource Mookiah S.; Parasuraman K.; Kumar Chandar S. Source A related resource from which the described resource is derived Soft Computing, Vol-26, No. 23, pp. 13193-13203. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s00500-022-07133-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00500-022-07133-5</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132966366&amp;doi=10.1007%2Fs00500-022-07133-5&amp;partnerID=40&amp;md5=0d448a6c59fc78e567c7ef217d853743" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132966366&amp;doi=10.1007%2fs00500-022-07133-5&amp;partnerID=40&amp;md5=0d448a6c59fc78e567c7ef217d853743</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14327643 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mookiah S., Department of Computer Science, JP College of Arts and Science, Tenkasi, India; Parasuraman K., Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tamil Nadu, Tirunelveli, 627012, India; Kumar Chandar S., School of Business and Management CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India