Blob Detection Based on Soft Morphological Filter

Weiqing TONG  Haisheng LI  Guoyue CHEN  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E103-D   No.1   pp.152-162
Publication Date: 2020/01/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDP7385
Type of Manuscript: PAPER
Category: Pattern Recognition
Keyword: 
blob detection,  soft morphological filter,  mathematical morphology,  Quoit filter,  

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Summary: 
Blob detection is an important part of computer vision and a special case of region detection with important applications in the image analysis. In this paper, the dilation operator in standard mathematical morphology is firstly extended to the order dilation operator of soft morphology, three soft morphological filters are designed by using the operator, and a novel blob detection algorithm called SMBD is proposed on that basis. SMBD had been proven to have better performance of anti-noise and blob shape detection than similar blob filters based on mathematical morphology like Quoit and N-Quoit in terms of theoretical and experimental aspects. Additionally, SMBD was also compared to LoG and DoH in different classes, which are the most commonly used blob detector, and SMBD also achieved significantly great results.