The role of perceptual organization in computer vision systems is explored. This is done
from four vantage points. A brief history of perceptual organization research in both humans …

In the context of biomedical imaging analysis and computer-assisted diagnosis,
segmentation analysis is an intense field of research and development. The most difficult …

We propose a biologically motivated method, called nonclassical receptive field (non-CRF)
inhibition (more generally, surround inhibition or suppression), to improve contour detection …

Because of the difficulty of obtaining ground truth for real images, the traditional technique
for comparing low-level vision algorithms is to present image results, side by side, and to let …

Despite the good performance of methods such as wavelet transform, Gabor filter bank, and
scale-invariant feature transform (SIFT) as the first step of image segmentation, they have …

We demonstrate a method for evaluating edge detector performance based on receiver
operating characteristic (ROC) curves. Edge detector output is matched against ground truth …

A new method for evaluating edge detection algorithms is presented and applied to
measure the relative performance of algorithms by Canny, Nalwa-Binford, Iverson-Zucker …

Presents a system for detecting retinal boundaries in optical coherence tomography (OCT) B-
scans. OCT is a relatively new imaging modality giving cross-sectional images that are …

Many edge detectors are available in image processing literature where the choices of input
parameters are to be made by the user. Most of the time, such choices are made on an ad …

Creating models of real scenes is a complex task for which the use of traditional modelling
techniques is inappropriate. For this task, laser rangefinders are frequently used to sample …