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Article . 2010
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Histogram Slicing To Better Reveal Special Thermal Objects

Authors: S. Ratna Sulistiyanti; Adhi Susanto; Widodo, Thomas Sri; Gede Bayu Suparta;

Histogram Slicing To Better Reveal Special Thermal Objects

Abstract

{"references": ["Jain, A. K., Fundamentals of Digital Image Processing, Prentice-Hall,\nInc., A Division of Simon & Schuster Engelwood Cliffs, New Jersey,\n1989.", "Gonzalez, R.C., Richard E. Woods, Digital Image Processing, Prentice-\nHall, Inc., Upper Saddle River, New Jersey, 2008.", "Sulistiyanti, S. R., Adhi Susanto, Thomas Sri Widodo, Gede Bayu\nSuparta, Noise Filtering on Thermal Images Acquired by Modified\nOrdinary Digital Camera, Proc. International Conference on Electronics\nand Information Technology (ICEIE 1-3 August 2010), to be published.", "Pavelka, M., Janotkov\u251c\u00ed, E., \u253c\u00e1tetina, J., Visualization and Optics\nMeasurement Methods, VUT Brno, 2001."]}

In this paper, an experimentation to enhance the visibility of hot objects in a thermal image acquired with ordinary digital camera is reported, after the applications of lowpass and median filters to suppress the distracting granular noises. The common thresholding and slicing techniques were used on the histogram at different gray levels, followed by a subjective comparative evaluation. The best result came out with the threshold level 115 and the number of slices 3.

Keywords

thresholding and slicingtechniques, granular noise, enhance, hot objects., thermal image

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