Madhu S Sigdel, Madhav Sigdel, Semih Dinç, İmren Dinç, Marc L Pusey, Ramazan S Aygün
{"title":"Autofocusing for Microscopic Images using Harris Corner Response Measure.","authors":"Madhu S Sigdel, Madhav Sigdel, Semih Dinç, İmren Dinç, Marc L Pusey, Ramazan S Aygün","doi":"10.1109/SECON.2014.6950754","DOIUrl":null,"url":null,"abstract":"<p><p>One of the difficulties for proper imaging in microscopic image analysis is defocusing. Microscopic images such as cellular images, protein images, etc. need properly focused image for image analysis. A small difference in focal depth affects the details of an object significantly. In this paper, we introduce a novel auto-focusing approach based on Harris Corner Response Measure (HCRM) and compare the performance with some existing auto-focusing methods. We perform our experiments on protein images as well as a simulated image stack to evaluate the performance of our method. Our results show that our HCRM-based technique outperforms other techniques.</p>","PeriodicalId":90950,"journal":{"name":"Proceedings of IEEE Southeastcon. IEEE Southeastcon","volume":"2014 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/SECON.2014.6950754","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Southeastcon. IEEE Southeastcon","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2014.6950754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
One of the difficulties for proper imaging in microscopic image analysis is defocusing. Microscopic images such as cellular images, protein images, etc. need properly focused image for image analysis. A small difference in focal depth affects the details of an object significantly. In this paper, we introduce a novel auto-focusing approach based on Harris Corner Response Measure (HCRM) and compare the performance with some existing auto-focusing methods. We perform our experiments on protein images as well as a simulated image stack to evaluate the performance of our method. Our results show that our HCRM-based technique outperforms other techniques.