KEYWORDS: Image segmentation, Image processing, Image processing algorithms and systems, LCDs, Digital imaging, Color and brightness control algorithms, Brain, Tumors, Image enhancement, Optics manufacturing
We present an image segmentation method based on the use of an optical technique for detection of contours (as a
preprocessing stage) and a posterior digital segmentation algorithms. The contouring technique is utilized to find an
accurate contour and it is based on the polarization features of the twisted-nematic liquid-crystal displays (TNLCDs).
TN-LCDs are manufactured to work between a crossed polarizer-analyzer pair. When the analyzer is at 45 deg (instead
of 90 deg) with respect to the polarizer, one obtains an optically processed image with pronounced outlines (dark
contours) at middle intensity. On other hand, the segmentation algorithms are based on active shape models or snakes.
Experimental results show that the proposed technique yields accurate segmentation for low-contrast images. Also, we
demonstrate that this hybrid-system has a better performance than purely digital algorithms.
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