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Muhamad Hafiz Ab Aziz

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Muhamad Hafiz Ab Aziz

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Muhamad Hafiz Ab Aziz

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Muhamad Hafiz , Ab Aziz

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Ab Aziz, Muhamad Hafiz

Aziz, Muhamad Hafiz Ab

Aziz, Mohd H.A.

Aziz, M. H.A.

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Universiti Malaysia Perlis

Scopus Author ID

55370619800

Researcher ID

FYK-1560-2022

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4 results

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Muhamad Hafiz Ab Aziz 4

Zaliman Sauli 4

Mohd Wafiuddin Yahya 3

Muhammad Mokhzaini Azizan 2

Hasnizah Aris 1

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Universiti Malaysia Perlis 4

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Breast imaging 1

Digital Fringe Projection 1

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Now showing 1 - 4 of 4

A review on harmonic mitigation method for non-linear load in electrical power system

( 2021)
Muhamad Hafiz Ab Aziz
;
Muhammad Mokhzaini Azizan
;
Zaliman Sauli
;
Mohd Wafiuddin Yahya
A review on harmonic mitigation method for non-linear load in electrical power system

( 2021)
Muhamad Hafiz Ab Aziz
;
Muhammad Mokhzaini Azizan
;
Zaliman Sauli
;
Mohd Wafiuddin Yahya
Development of copper busbar by silver plating under non-linear load operation using finite element method (FEM)

( 2023)
Muhamad Hafiz Ab Aziz
;
M. M. Azizan
;
Zaliman Sauli
;
Mohd Wafiuddin Yahya
Digital fringe projection system for round shaped breast tumor detection

( 2020-01-01)
Wan Mokhdzani Wan Nor Haimi
;
Zaliman Sauli
;
Hasnizah Aris
;
Vithyacharan Retnasamy
;
Rajendaran Vairavan
;
Muhamad Hafiz Ab Aziz

The digital fringe projection has been widely used in the field of surface imaging however its application in the field of body imaging especially for human breasts is still quite limited. Currently, the common imaging modality for breast tumor diagnoses are breast ultrasound and mammogram. There are advantages and limitations of using the mammogram and ultrasound in terms of the procedure of the process and the non-invasive nature of the procedure. In this work, an automated digital fringe projection system is developed to execute the imaging of surface changes of a helical shaped phantom breast. The fringe projection setup utilizes a computer, LCD projector, and a CCD camera. The tumor used was round-shaped with a diameter size of 1.5 and 2 cm. The fringe pattern was projected through the three-step phase shift where a resulting phase map was obtained. Results demonstrated that the system was able to identify an average pixel shift of five and ten on the breast surface caused by the presence of the round breast tumors.

3

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