DocumentCode :
147648
Title :
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
Link To Document :
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