Two approaches of multistage gradient robusti cation for image contour detection are presented in this paper: two stages of Di erence of Estimates and Di erence of Estimate followed by an optimal ltering. Watershed transformation is then applied to these robusti ed gradient images to e ectively detect image contours which are guaranteed to be in closed form. Multistage gradient robusti cation p...

An algorithm based on human-computer interaction is put forward aiming at the disadvantages of low accuracy of image contour and low degree thinning of contour. First, to reduce image noise is necessary by filtering, the following thing is to change image into gray image. The gray image is segmented by fuzzy c-means clustering algorithm. In the algorithm, the edge is traversed at given initial ...

This article presents a weakly supervised approach based on Markov random field model for the extraction of objects (e.g., aircrafts) in optical remote sensing images. This approach is capable of localizing and then segmenting objects in optical remote sensing images by relying only on several object samples without artificial labels. However, unlike direct combinations of object detection and ...

BACKGROUND Mammography is one of the most popular tools for early detection of breast cancer. Contour of breast mass in mammography is very important information to distinguish benign and malignant mass. Contour of benign mass is smooth and round or oval, while malignant mass has irregular shape and spiculated contour. Several studies have shown that 1D signature translated from 2D contour can ...

We investigated temporal aspects of the cortical mechanisms supporting visual contour integration by measuring observers' efficiency at detecting fragmented contours, composed of Gabor micropatterns, embedded in a field of distractor elements. Gabors consisted of a static Gaussian enveloping a sinusoidal carrier which was temporally modulated by motion or counter-phase flicker. The elements for...

Image recognition plays an important role in a wide range of applications from biomedical imaging and security systems to scene surveillance and many other fields. This document presents the representation of the recognition of two images through the process of geometric comparison. The geometric comparison is performed by comparing the image with a template through the processes of edge detect...

In this paper we study how shape information encoded in contour energy components values can be used for detection of microscopic organisms in population images. We proposed features based on shape and geometrical statistical data obtained from samples of optimized contour lines integrated in the framework of Bayesian inference for recognition of individual specimens. Compared with common geome...

The detection of contours in noise has been extensively studied, but the detection of closed contours, such as the boundaries of whole objects, has received relatively little attention. Closed contours pose substantial challenges not present in the simple (open) case, because they form the outlines of whole shapes and thus take on a range of potentially important configural properties. In this ...

This paper presents a computational model for obtaining relative depth information from image contours. Local occlusion properties such as T-junctions and concavity are used to arrive at a global percept of distinct surfaces at various relative depths. A multi-layer representation is used to classify each image pixel into the appropriate depth plane based on the local information from the occlu...

Delineation of irregular shaped objects can be realized using active contours, called snakes[l]. However, the minimization of the potential energy pushes the control points toward the lowest potential energy regions, so most of the control points lie in those regions and a few, or even no control points lie in other parts of the contours, as shown in the Fig.1. We propose an Equidistant Snake t...