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Region-Segmental Scheme in Local Normalization Process of Digital Image  

Hwang, Jung-Won (Dept. of Media, Soongsil University)
Hwang, Jae-Ho (Dept. of Electronic Engineering, Hanbat National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.44, no.4, 2007 , pp. 78-85 More about this Journal
Abstract
This paper presents a segmental scheme for regions-composed images in local normalization process. The scheme is based on local statistics computed through a moving window. The normalization algorithm uses linear or nonlinear functions to transfer the pixel distribution and the homogeneous affine of regions which is corrupted by additive noise. It adjusts the mean and standard deviation for nearest-neighbor interpoint distance between current and the normalized image signals and changes the segmentation performance according to local statistics and parameter variation adaptively. The performance of newly advanced local normalization algorithm is evaluated and compared to the performance of conventional normalization methods. Experimental results are presented to show the region segmentation properties of these approaches.
Keywords
Local Normalization; Local Statistics; Region Segmentation; Neighborhood; Parameter;
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