Significant progress has been made in boundary detection with the help of convolutional neural networks. Recent models not only focus on real object but also “crisp” boundaries (precisely localized along object's contour). There are two methods to evaluate crisp performance. One uses more strict tolerance measure distance between ground truth and detected contour. The other focuses evaluating c...

Unlike the simplification of independent line features, the generalization of terrain contour is to handle the “line group”, which describes the geomorphologic characteristics, such as the terrain valley and ridge. In decision level, the real operation object in terrain generalization is not line segment itself but the drainage network contained in the contour representation. This paper present...

Telemedicine is growing and there is an increased demand for faster image processing and transmitting diagnostic medical images. Identifying and extracting the region of interest (ROI) accurately is an important step before coding and compressing the image data for efficient transmission or storage. The usual approach to extract ROI is to apply contour segmentation method. Chan-Vese active cont...

Most computer contour mapping of irregularly spaced data points is performed using an intermediate rectangular grid. An alternative method is proposed whereby a map area is automatically divided into suitable triangular domains with a data point at each vertex. Surface estimation and contour plotting are then performed independently for each triangle using a measured or bestfit plane associated...

Isocontour mapping is efficient for extracting meaningful information from a biomedical image in a topographic analysis. Isocontour extraction from real world medical images is difficult due to noise and other factors. As such, adaptive selection of contour generation parameters is needed. This paper proposes an algorithm for generating an adaptive contour map that is spatially adjusted. It is ...

The midlevel visual cortical area V4 in the primate is thought to be critical for the neural representation of visual shape. Several studies agree that V4 neurons respond to contour features, e.g., convexities and concavities along a shape boundary, that are more complex than the oriented segments encoded by neurons in the primary visual cortex. Here we compare two distinct approaches to modeli...

Depth Image Based Rendering (DIBR), as a freeviewpoint synthesis technique, enables interactive selection of the view for watching. However, many rendering methods based on DIBR usually bring contour, crack and disocclusion artifacts. To address these problems, we propose effective methods to remove these artifacts. Firstly, before warping, the reference depth maps and color images are analyzed...

In this paper we summarize new and existing approaches for the semiautomatic image segmentation based on active contour models. In order to replace the manual segmentation of images of the medical research of the Center of Anatomy at the Georg August University of Göttingen we developed a user interface based on snakes. Due to the huge images (sometimes bigger than 100 megapixels) the research ...

This paper attempts at authenticating users in the hardened password mechanism, through the use of contour mapping techniques. Students of the computer science department at the University of Mauritius have been dealing with contour mapping techniques in computer graphics and password mechanisms during their final year. This work aims at introducing them to the development of simple components ...