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An adaptive morphological filter for moving object segmentation
Author(s):
1. MUHAMMAD HAMEED SIDDIQI: College of Computer and Information Sciences, Jouf University,Sakaka, Aljouf, Kingdom of Saudi, Arabia
2. MADALLAH ALRUWAILI: College of Computer and Information Sciences, Jouf University,Sakaka, Aljouf, Kingdom of Saudi, Arabia
3. M. M. KAMRUZZAMAN: College of Computer and Information Sciences, Jouf University,Sakaka, Aljouf, Kingdom of Saudi, Arabia
4. SAAD ALANAZI: College of Computer and Information Sciences, Jouf University,Sakaka, Aljouf, Kingdom of Saudi, Arabia
5. SAID ELAIWAT: College of Computer and Information Sciences, Jouf University,Sakaka, Aljouf, Kingdom of Saudi, Arabia
6. FAYADH ALENEZI: Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka, Aljouf, Kingdom of Saudi Arabia
Abstract:
This work presents a system that combined well-known morphological filters in order to find true moving regions from a sequence of images. For localizing the changed region, a block-based change segmentation process is proposed. This change region is naturally a coarse region and also contains some holes. To compensate this, we used an edge-based dilation to get an anisotropic expansion of the coarse image. Then the segmentation is generated using watershed algorithm. To prevent over segmentation, we used a specially weighted gradient image to achieve segmentation. Also, we removed some local minima from that gradient image. Finally, a fusion is applied on morphological filters. Furthermore, we calculated the coverage ratio of edge pixels of each segmented region. Comparing with a converge threshold, we determined whether the segmented region is truly belongs to a moving region or not. In the end, the experimental result demonstrated the validity of our proposed method.
Page(s): 2755-2762
DOI: DOI not available
Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 14, Year: 2020
Keywords:
Morphological Filter
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