Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
ACM-SE 36 Proceedings of the 36th annual Southeast regional conference
Automatic image enhancement by content dependent exposure correction
EURASIP Journal on Applied Signal Processing
A novel localization system based on infrared vision for outdoor mobile robot
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
New spatial filters for image enhancement and noise removal
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
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Image enhancement is a common procedure intended to process an image so that the resulting processed image is more suitable than the original one for a given application. Spatial filtering is a well-known procedure to achieve this goal. Low-pass filtering smooths the image and is often used as a preprocessing step to image analysis, removing small details and reducing noise. This filtering process, however, blurs the image. High-pass filtering sharpens the borders between the different image regions by highlighting edges. This process also highlights noise and spurious details. This study proposes a different method that first detects borders between radiometrically distinct image regions and then applies a weighting function to smooth each region internally. The proposed algorithm was implemented on a SUN Sparcstation for testing purposes. Results of the procedure are presented.