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Vol. 163, Issue 1, January 2014, pp. 96-102

 

Bullet

 

Multi-technology Integration Based on Low-contrast Microscopic Image Enhancement
 

* Haoge Ma, Lu Han

College of Information Science and Engineering, Henan University of Technology, Zhengzhou, Henan, 450001, P. R. China
* Tel.: 13523712869

* E-mail: mahaoge@haut.edu.cn

 

Received: 12 November 2013 /Accepted: 9 January 2014 /Published: 31 January 2014

Digital Sensors and Sensor Sysstems

 

Abstract: Microscopic image enhancement is an important issue of image processing technique, which is used to improve the visual quality of image. This paper describes a novel multi resolution image segmentation algorithm for low DOF images. The algorithm is designed to separate a sharply focused object of interest from other foreground or background objects. The algorithm is fully automatic in that all parameters are image in dependent. A multiscale-approach based on high frequency wavelet coefficients and their statistics is used to perform context dependent classification of individual blocks of the image. Compared with the state of the art algorithms, this new algorithm provides better accuracy at higher speed.

 

Keywords: Microscopic image, Sobel operator, LoG operator, Limited adaptive histogram equalization contrast, Image enhancement.

 

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