title: Autofocusing for Microscopic Images using Harris Corner Response Measure.
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.
authors.affiliation: Department of Computer Science, University of Alabama in Huntsville, Huntsville, Alabama 35899, United States.
authors.forename: Madhu S
authors.initials: MS
authors.lastname: Sigdel
authors.affiliation: Department of Computer Science, University of Alabama in Huntsville, Huntsville, Alabama 35899, United States.
authors.forename: Madhav
authors.initials: M
authors.lastname: Sigdel
authors.affiliation: Department of Computer Science, University of Alabama in Huntsville, Huntsville, Alabama 35899, United States.
authors.forename: Semih
authors.initials: S
authors.lastname: Dinç
authors.affiliation: Department of Computer Science, University of Alabama in Huntsville, Huntsville, Alabama 35899, United States.
authors.forename: İmren
authors.initials: İ
authors.lastname: Dinç
authors.affiliation: iXpressGenes, Inc., 601 Genome Way, Huntsville, Alabama 35806, United States.
authors.forename: Marc L
authors.initials: ML
authors.lastname: Pusey
authors.affiliation: Department of Computer Science, University of Alabama in Huntsville, Huntsville, Alabama 35899, United States.
authors.forename: Ramazan S
authors.initials: RS
authors.lastname: Aygün