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TMI
1998
181views more  TMI 1998»
15 years 1 months ago
Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation
Abstract— The adaptive contrast enhancement (ACE) algorithm, which uses contrast gains (CG’s) to adjust the highfrequency components of images, is a well-known technique for me...
Dah-Chung Chang, Wen-Rong Wu
DAGM
2007
Springer
15 years 7 months ago
Classifying Glaucoma with Image-Based Features from Fundus Photographs
Glaucoma is one of the most common causes of blindness and it is becoming even more important considering the ageing society. Because healing of died retinal nerve fibers is not p...
Rüdiger Bock, Jörg Meier, Georg Michelso...
3DIM
2005
IEEE
15 years 7 months ago
Simultaneous Determination of Registration and Deformation Parameters among 3D Range Images
Conventional registration algorithms are mostly concerned with rigid-body transformation parameters between a pair of 3D range images. Our proposed framework aims to determine, in...
Tomohito Masuda, Yuichiro Hirota, Katsushi Ikeuchi...
PR
2000
158views more  PR 2000»
15 years 1 months ago
Applying deformable templates for cell image segmentation
This paper presents an automatic method, based on the deformable template approach, for cell image segmentation under severe noise conditions. We de"ne a new methodology, div...
Antonio Garrido Carrillo, Nicolas Pérez de ...
ICPR
2008
IEEE
15 years 8 months ago
A novel automatic seed point selection algorithm for breast ultrasound images
Region growing is a frequently used segmentation method for medical ultrasound images processing. The first step of region growing is selecting the seed point which is inside the ...
Juan Shan, Heng-Da Cheng, Yuxuan Wang