Title :
A new approach to scene analysis for IR images
Author :
Slamani, Mohamed A. ; Weiner, D.D. ; Ozturk, Aydln
Author_Institution :
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
Abstract :
A new automated approach is proposed for subdividing IR images into homogeneous regions and for approximating the probability density function underlying the random data in each region. The approach is illustrated with synthetic data. Both Gaussian and non-Gaussian portions of the image are readily approximated using the recently developed Ozturk algorithm
Keywords :
image segmentation; infrared imaging; Gaussian data; IR images; Ozturk algorithm; automated subdivision; homogeneous regions; nonGaussian data; probability density function; random data; scene analysis; Algorithm design and analysis; Background noise; Data analysis; Image analysis; Image processing; Probability density function; Process design; Shape; Statistical distributions; Testing;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.518952
