Autofocusing for microscopic images using Harris Corner Response Measure

Author

Sigdel, Madhu S. ; Sigdel, Madhav ; Dinc, Semih ; Dinc, Imren ; Pusey, Marc L. ; Aygun, Ramazan S.

Author_Institution

Dept. of Comput. Sci., Univ. of Alabama in Huntsville, Huntsville, AL, USA

fYear

2014

fDate

13-16 March 2014

Firstpage

1

Lastpage

6

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 HCRMbased technique outperforms other techniques.

Keywords

edge detection; HCRM-based technique; Harris corner response measure; focal depth; image defocusing; microscopic image analysis; microscopic image autofocusing; performance evaluation; protein images; simulated image stack; Continuous wavelet transforms; Crystals; Laplace equations; Linear programming; Microscopy; Proteins; Stacking;

fLanguage

English

Publisher

ieee

Conference_Titel

SOUTHEASTCON 2014, IEEE

Conference_Location

Lexington, KY

Type

conf

DOI

10.1109/SECON.2014.6950754

Filename

6950754