Software Development on Image Segmentation and Data Compression for Efficiency Enhancement in Data Transmission over Internet

Main Article Content

ไพศาล ศรีพระราม
วรากร ศรีเชวงทรัพย์

Abstract

This article describes a software development on image data reduction by using Canny edge detection and image segmentation in order to remove unnecessary data such as image background. Zlib Deflate compression algorithm is used to achieve an effective data reduction capability. This software is developed using MATLAB programming language and MATLAB GUI. Results show that the developed software can reduce the transmitted data size and increase


the frame rate.

Article Details

Section
Research Article

References

Gonzalez, R. C., Woods, R. E., and Eddins, S. L. [2010]. Digital Image Processing Using MATLAB, 3rd ed., Gatesmark Publishing, Knoxville, TN.

John Canny. A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, PAMI-8(6):679–698, November 1986.

A.S. Godbole, Data Compression and Encryption, Data Communication and Networks, International Edition, 2003.

Ken Huffman. Profile: David A. Huffman, Scientific American, pp. 54–58, September 1991.

Jacob Ziv and Abraham Lempel; Compression of Individual Sequences via Variable-Rate Coding, IEEE Transactions on Information Theory, September 1978.