Abstract
Image enhancement is a field that is being used in various areas and disciplines. Advances in computers, microcontrollers and DSP boards have opened new horizons to digital image processing, and have opened many avenues to the design and implementation of new innovative techniques. This paper compares image enhancement via the modification of the probability density function of the gray levels with the new techniques that involves the use of knowledge-base (fuzzy expert) systems that are capable of mimicking the behavior of a human expert. A fuzzy expert system based software for image enhancement, called SmartPhotoLab has been introduced for the above purpose.
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Present address: A. El-Osery Dept. of Electrical Engineering, New Mexico Tech, Workman Center Rm. 247 801 Leroy place, Socorro, NM 87801 e-mail: elosery@ee.nmt.edu.
This work was supported in parts by NASA grants no. NAG2–1196 and 2-1480.
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El-Osery, A., Jamshidi, M. Analog and digital image enhancement using fuzzy expert systems. Soft Computing 7, 97–106 (2002). https://doi.org/10.1007/s00500-002-0177-7
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DOI: https://doi.org/10.1007/s00500-002-0177-7