Autonomous agents for edge detection and continuity perception on otolith images

نویسندگان

  • Anne Guillaud
  • Abdessalam Benzinou
  • Hervé Troadec
  • Vincent Rodin
  • Jean Le Bihan
چکیده

An automatic method for edge detection on biological images (otolith images) using a multi-agent system is presented. One of the major problems encountered during an automatic contour detection is the lack of structure continuity perception. In this paper we present a new approach to perceive continuity based on a 2D reconstruction of closed contours using a multi-agent system. Each agent is provided with sensors on the image, which allow it to follow local intensity extremes. The purpose is to detect alternative light and dark concentric structures in an image. To improve the detection of these reactive agents, we have added high-level information about the shape of the contour. An application to fish otolith growth ring detection is presented in this paper. q 2002 Elsevier Science B.V. All rights reserved.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Multiagent System for Edge Detection and Continuity Perception on Fish Otolith Images

We present an algorithm for fish otolith growth ring detection using a multiagent system. Up to now, the identification of growth rings, for age estimation, is routinely achieved by human readers, but this task is tedious and depends on the reader subjectivity. One of the major problems encountered during an automatic contour detection is the lack of ring continuity perception. We present an ap...

متن کامل

Continuity Perception Using a Multiagent System: An Application to Growth Ring Detection on Fish Otoliths

One of the major problems encountered during an automatic contour detection is the lack of structure continuity perception. Active contours are currently used to represent this continuity, but they point out some problems for contour detection in textured, noisy and low contrast images. In this paper we present a new approach to perceive continuity based on a 2 0 reconstruction of closed contou...

متن کامل

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

متن کامل

Edge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System

 Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...

متن کامل

Noisy images edge detection: Ant colony optimization algorithm

The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Image Vision Comput.

دوره 20  شماره 

صفحات  -

تاریخ انتشار 2002