School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Document Type

Conference Proceeding

Publication Date

5-18-2020

Abstract

Obtaining the effective contour from an image taken by fisheye lens is important for the following transactions. Many studies try to develop suitable methods to get accurate contours of fisheye images. Using the traditional level set method (CV model) is hard to meet the desire task that the final segmentation region is a circle. Therefore, the preprocessing of fisheye images and the improvement of traditional level set method are redesigned to get a final circular segmentation which may be suitable to other applications. In this paper, we use the local entropy method to make the value of pixels be even inside the effective circular region, further threshold method to remove the hole(s), and at last the explicit circular level set method to get final segmentation. The final experimental results show that the segmentation is effective.

Comments

Copyright 2020 Society of Photo‑Optical Instrumentation Engineers (SPIE). Original published version available at

Publication Title

Proceedings Volume 11395, Big Data II: Learning, Analytics, and Applications

DOI

10.1117/12.2560764

Included in

Mathematics Commons

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