Title :
A shadow detection and removal algorithm for 2-D images
Author :
Scanlan, Joseph ; Chabries, Douglas ; Christiansen, Richard
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Abstract :
An algorithm that detects and removes background shadows from images in which the pattern set occupies the upper-most intensity range of the image and the image is background dominant outside the pattern set is presented. The algorithm will remove background shadows and preserve any remaining texture left behind by the shadow function. A mathematical model of the histogram modification function of the shadow-removal algorithm is developed. An analysis of the sequential nature of the algorithm is included along with simulated results to verify the mathematical model developed and to show the effectiveness of the algorithm in removing background pattern shadows
Keywords :
pattern recognition; picture processing; 2D images; histogram modification function; mathematical model; shadow detection; shadow-removal algorithm; Algorithm design and analysis; Analytical models; Attenuation; Dynamic range; Histograms; Image coding; Mathematical model; Noise generators; Pattern analysis; Pattern matching; Pixel; Reflectivity; Remote sensing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115931