Active Canny: Edge Detection and Recovery with Open Active Contour Models

09/12/2016
by   Muhammet Bastan, et al.
0

We introduce an edge detection and recovery framework based on open active contour models (snakelets). This is motivated by the noisy or broken edges output by standard edge detection algorithms, like Canny. The idea is to utilize the local continuity and smoothness cues provided by strong edges and grow them to recover the missing edges. This way, the strong edges are used to recover weak or missing edges by considering the local edge structures, instead of blindly linking them if gradient magnitudes are above some threshold. We initialize short snakelets on the gradient magnitudes or binary edges automatically and then deform and grow them under the influence of gradient vector flow. The output snakelets are able to recover most of the breaks or weak edges, and they provide a smooth edge representation of the image; they can also be used for higher level analysis, like contour segmentation.

READ FULL TEXT

page 2

page 6

page 7

page 11

page 13

research
09/30/2019

Custom Extended Sobel Filters

Edge detection is widely and fundamental feature used in various algorit...
research
12/18/2014

Contour Detection Using Contrast Formulas in the Framework of Logarithmic Models

In this paper we use a new logarithmic model of image representation, de...
research
10/27/2020

Contour Integration using Graph-Cut and Non-Classical Receptive Field

Many edge and contour detection algorithms give a soft-value as an outpu...
research
04/27/2023

Contour Completion by Transformers and Its Application to Vector Font Data

In documents and graphics, contours are a popular format to describe spe...
research
04/29/2012

Active Contour with A Tangential Component

Conventional edge-based active contours often require the normal compone...
research
09/17/2019

Weak Edge Identification Nets for Ocean Front Detection

The ocean front has an important impact in many areas, it is meaningful ...
research
03/19/2015

An approach to improving edge detection for facial and remotely sensed images using vector order statistics

This paper presents an improved edge detection algorithm for facial and ...

Please sign up or login with your details

Forgot password? Click here to reset