Journal of Soft Computing Paradigm
IRO Journals
Volume 1 — Issue 1 — September 2019

STUDY ON HERMITIAN GRAPH WAVELETS IN FEATURE DETECTION

https://doi.org/10.36548/jscp.2019.1.003
Samuel Manoharan
Professor, Department of Electronics, Bharathiyar College of Engineering and Technology, Thiruvettakudy, Karaika
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Manoharan, Samuel. 2019. “STUDY ON HERMITIAN GRAPH WAVELETS IN FEATURE DETECTION”. Journal of Soft Computing Paradigm 1 (1): 24-32. https://doi.org/10.36548/jscp.2019.1.003.
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Keywords

— Wavelet transform
— Hermitian wavelet
— Graph wavelet
— Feature detection
— Advantages
— Signal processing
— Image processing
Published: 30-09-2019

Abstract

The enormous information flow in our day today life, initiates the necessitates of the identifying the valuable data that are to be concentrated. In case of image segmentation and signal processing, the feature detection takes up the role of fixating to the data that are to be focused. Thus directing to the pixels or information that are to be concentrated eliminating the time and the energy wastage in examining the pixels or the information's that are of least important. The paper is the study, focusing on the advantages of utilizing the Hermitian wavelet transform incorporated with the graph wavelet in the feature detection, leading to an accurate identification of the information to be processed further.

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