نتایج جستجو برای: gradient vector flow gvf field

تعداد نتایج: 1491606  

Journal: :Pattern Recognition 2010
Ovidiu Ghita Paul F. Whelan

This paper is concerned with the introduction of a new gradient vector flow (GVF) field formulation that shows increased robustness in the presence of mixed noise and with its evaluation when included in the development of image enhancement algorithms. In this regard, the main contribution associated with this work resides in the development of an adaptive image enhancement framework that coupl...

1997
Chenyang Xu Jerry L. Prince

Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initialization and poor convergence to concave boundaries, however, have limited their utility. This paper develops a new external force for active contours, largely solving both problems. This external force, which we call gra...

2009
Laurence Guillot Carole Le Guyader

We investigate a new Gradient-Vector-Flow (GVF)-inspired static external force field for active contour models, deriving from the edge map of a given image and allowing to increase the capture range. Contrary to prior related works, we reduce the number of unknowns to a single one v by assuming that the expected vector field is the gradient field of a scalar function. The model is phrased in te...

2015
Shiping Zhu Ruidong Gao

Active contours, or snakes, have extensive applications in image segmentation. Conventional snakes have several drawbacks, such as the initialization contour sensitivity and border leakage phenomenon. Many new methods have been proposed to address these problems. In this paper, we present an improved image segmentation method based on snakes. Firstly, we adopt the multi-step direction method to...

2006
A.Prabhu Britto G. Ravindran

In this research, characterization of Discrete Cosine Transform (DCT) based Gradient Vector Flow (GVF) Active Contours as an efficient boundary mapping technique for chromosome spread images is done. Statistical testing validates the experimental results of characterization. Investigations on a different dataset are carried out to validate the characterized parameters and the parameters are sta...

2014
Alaa Khadidos Victor Sanchez Chang-Tsun Li

Parametric active contours have been widely used for image segmentation. However, high noise levels and weak edges are the most acute issues that hinder their performance, particularly in medical images. In order to overcome these issues, we propose an external force that weights the gradient vector flow (GVF) field and balloon forces according to local image features. We also propose a mechani...

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 1998
Chenyang Xu Jerry L. Prince

Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initialization and poor convergence to boundary concavities, however, have limited their utility. This paper presents a new external force for active contours, largely solving both problems. This external force, which we call g...

2015
A. Kamala

Gradient Blending method is used to crosscorrelate the different images by varying the intensity. Content-aware image resizing technique allows to obtain the visual content of the images by enriching the salient information in different aspect of ratio. Seam carving is a simple image operator that can change the size of an image either by carving out or by inserting pixel in different part of t...

2006
Cherry Ballangan

Active contour, or snake, is an energy minimizing spline that is useful in image boundary detection. Active contours are stimulated by internal forces, image forces and external forces which maintain the shape of the contours while attract the contours to some desired features, usually edges. Problems in implementing active contours such as convergence and initialization have motivated research...

2000
Jerry L. Prince

Deformable models are used extensively in image processing, computer vision, and medical imaging applications, particularly to delineate object boundaries. Problems associated with initialization and poor convergence to boundary concavities, however, have limited their utility. This chapter presents an external force for deformable models, largely solving both problems. This external force, whi...

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