A New Embossing Method for Gray Images Using Kalman Filter

Zhi Kai Huang; Xing Wang Zhang; Wei Zhong Zhang; Ling Ying Hou

doi:10.4028/www.scientific.net/AMM.39.488

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 39A New Embossing Method for Gray Images Using...

A New Embossing Method for Gray Images Using Kalman Filter

Abstract:

In this paper, we propose a new embossing algorithm for gray images using Kalman filter. First, a 2D gray image is first converted to a one dimension vector; those vectors could be considered as a one-dimension discrete-time signal. Then, the performance of image filtering using Kalman filter for image is studied and according to its results, Canny edge detection operators are investigated to find edge map in a gray scale image. Finally, enhance contrast using histogram equalization has been applied. Compared with other conventional embossing method for images, it is an impressive experimental result using our proposed algorithm for gray image embossing. Practical results show that this algorithm can be exploited in different fields such as image pattern recognition.

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Periodical:

Applied Mechanics and Materials (Volume 39)

Pages:

488-491

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.39.488

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Online since:

November 2010

Authors:

Zhi Kai Huang, Xing Wang Zhang, Wei Zhong Zhang, Ling Ying Hou

Keywords:

Canny Edge Detection, Embossing, Histogram Equalization, Kalman Filter (KF)

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