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 …

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 …

We present a novel edge segment detection algorithm that runs real-time and produces high
quality edge segments, each of which is a linear pixel chain. Unlike traditional edge …

This paper presents an automated and effective method for detecting 3D edges and tracing
feature lines from 3D-point clouds. This method is named Analysis of Geometric Properties …

In this paper, the authors have proposed a method of segmenting gray level images using
multiscale morphology. The approach resembles the watershed algorithm in the sense that …

We characterize the problem of detecting edges in images as a fuzzy reasoning problem.
The edge detection problem is divided into three stages: filtering, detection, and tracing …

A gradient image describes the differences of neighboring pixels in the image. Extracting
edges only depending on a gradient image will results in noised and broken edges. Here …

As one of the most common features, 3D line segments provide visual information in scene
surfaces and play an important role in many applications. However, due to the huge …

Removal of speckle noise from Real SAR images is a significant task for the better
segmentation, target detection, target recognition or other processing. In this paper, a novel …

This paper presents an evaluation of edge detector performance. We use the task of
structure from motion (SFM) as a" black box" through which to evaluate the performance of …