Title :
A coarse-to-fine auto-focusing algorithm for microscopic image
Author :
Liu, Yung-Chun ; Hsu, Fu-Yu ; Chen, Hsin-Chen ; Sun, Yung-Nien ; Wang, Yi-Ying
Author_Institution :
Comput. Sci. & Inf. Eng., Nat. Cheng-Kung Univ., Tainan, Taiwan
Abstract :
Auto-focusing is an important step in development a computer-aided evaluation system for diagnostic microscope. An auto-focusing algorithm can identify the best focus reliably and objectively, and prevents the tedious and time consuming steps of manual focusing. In this paper, a coarse-to-fine auto-focusing method is proposed based on a multi-resolution scheme which locates the focusing range by quadratic polynomial fitting in low resolution and achieves accurate focal point by using binary search in fine resolution. An algorithm was developed to identify the focal point under multiple image resolution with the Sum of Modified Laplacian (SML) as the focusing value. The main contribution of this system is to reduce the auto-focusing time. Comparing with the conventional binary search, the coarse-to-fine method only needs half of the time to accomplish auto-focusing. Using the proposed technique, the efficiency of auto-focusing system has been significantly improved.
Keywords :
image resolution; medical image processing; coarse-to-fine auto-focusing algorithm; computer-aided evaluation system; diagnostic microscope; image resolution; microscopic image; multiresolution scheme; quadratic polynomial fitting; sum of modified Laplacian; Accuracy; Fitting; Focusing; Image resolution; Laplace equations; Microscopy; Polynomials; auto-focusing; microscope image; sharpness measurement;
Conference_Titel :
System Science and Engineering (ICSSE), 2011 International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-61284-351-3
Electronic_ISBN :
978-1-61284-472-5
DOI :
10.1109/ICSSE.2011.5961939