Many document images are rich in color and have complex background. To detect text from them, a standard approach utilizes both color and binary information. This often leads to t...
Detecting glaucoma progression is crucial for assessing the effectivity of the treatment. This paper describes three methods for detecting progression related changes in polarimetr...
Koen Vermeer, N. J. Reus, Frans Vos, Hans Lemij, A...
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Abstract. Even with the recent advances in multidetector computed tomography (MDCT) imaging techniques, detection of calcified coronary lesions remains a highly tedious task. Noise...
Automated detection of lesions in retinal images can assist
in early diagnosis and screening of a common disease:
Diabetic Retinopathy. A robust and computationally
efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...