Minimising the energy of active contour model using a Hopfield network

研究成果: Article

12 引文 斯高帕斯(Scopus)

摘要

Active contour models (snakes) are commonly used for locating the boundary of an object in computer vision applications. The minimisation procedure is the key problem to solve in the technique of active contour models. In this paper, a minimisation method for an active contour model using Hopfield networks is proposed. Due to its network structure, it lends itself admirably to parallel implementation and is potentially faster than conventional methods. In addition, it retains the stability of the snake model and the possibility for inclusion of hard constraints. Experimental results are given to demostrate the feasibility of the proposed method in applications of industrial pattern recognition and medical image processing.

原文English
頁(從 - 到)297-303
頁數7
期刊IEE Proceedings E: Computers and Digital Techniques
140
發行號6
出版狀態Published - 1993 十一月

    指紋

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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