Image Processing Method on Radiographic Image of Piping using MATLAB: Enhancement and Detection Process
Puteri Zirwatul Nadila M. Z1, Norfadhlina Khalid2, Roszaiman Abd Khalid3, M. K. Puteri Zarina4
1Puteri Zirwatul Nadila M.Z, Maritime Engineering Technology (MET) Section, Universiti Kuala Lumpur-Malaysian Institute of Marine Engineering Technology (MIMET), Lumut, Perak, Malaysia.
2Norfadhlina Khalid, Maritime Engineering Technology (MET) Section, Universiti Kuala Lumpur-Malaysian Institute of Marine Engineering Technology (MIMET), Lumut, Perak, Malaysia.
3Roszaiman Abd Khalid, Universiti Kuala Lumpur-Malaysian Institute of Marine Engineering Technology (MIMET), Lumut, Perak, Malaysia.
4M.K. Puteri Zarina, Student Development (SD) Section, Universiti Kuala Lumpur-Malaysian Institute of Marine Engineering Technology (MIMET), Lumut, Perak, Malaysia.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 5557-5561 | Volume-8 Issue-12, October 2019. | Retrieval Number: L39751081219/2019©BEIESP | DOI: 10.35940/ijitee.L3975.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image enhancement is a pre-processing process to enhance the quality and information content of original data. This paper investigates two methods of image augmentation that is deployed to remove noise and improve radiographic images. The first method is image filtering, which consists of smoothing, sharpening and edge enhancement (Sobel & Prewitt) operations. The filtering method emphasizes certain characteristics or eliminates other details. While the second method is morphological technique that utilizes the opening and closing operation, which employed to removed distorted noise and imperfection on the processed images. Each method and operation applied to the image is evaluated subjectively based on the enhance image quality. The image quality measured using MSE (Mean Square Error) and PSNR (Peak Signal to Noise Ratio) which is a full reference metrics. The image quality results are compared to give a wide picture on the performance of the enhanced images. The image processing operations accomplished by using MATLAB image processing toolbox.
Keywords: Digital Radiography, Image Enhancement, Image Detection, Image quality
Scope of the Article: Image Security