Cuckoo Search based Soft computing Approach for Quality Analysis of White Poppy Seeds
Main Article Content
Abstract
Poppy seeds are found to be a strictly monitored crop which is because of its narcotic effects. However the use of poppy seeds in food,
industrial and medical purpose opens the door for its survival. It generates a good amount of foreign currency for the producing country. Due to
its high value its quality should also be assured. In this study nature is applied for benefit of nature, that is nature-inspired metaheuristic
algorithms, that is Cuckoo Search (CS) and Particle Swarm Optimization (PSO) have been used to check and monitor the quality of the white
poppy seeds. CS is used in the preprocessing stage of the approach, whereas PSO is used for segmentation and final outcome. Basically CS is
used to enhance the image quality, which helps to further process the image in later stages. Combination of these two approaches is quite new,
but the results are very good. Visual results imply that impurities in terms of black seeds within white seeds can be successfully recognized
through computer vision analysis.
Keywords- Poppy seeds, Computer vision, image enhancement, Cuckoo Search, L´evy flight, Particle Swarm Optimization, Segmentation,
Histogram
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.