Jamaludin J.Rahim R.A.Fazul Rahiman M.H.Mohd Rohani J.2024-05-282024-05-282018J. Jamaludin, R. A. Rahim, M. H. Fazul Rahiman and J. Mohd Rohani, "Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device," in IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1689-1696, April 2018, doi: 10.1109/TIP.2017.2783620.1057714910.1109/TIP.2017.27836202-s2.0-85039785516https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039785516&doi=10.1109%2fTIP.2017.2783620&partnerID=40&md5=cac54e93ed8eed4b18323973891c3c93https://ieeexplore.ieee.org/document/8207602/citations#citationshttps://oarep.usim.edu.my/handle/123456789/9055Volume: 27 Issue: 4Optical tomography (OPT) is a method to capture a cross-sectional image based on the data obtained by sensors, distributed around the periphery of the analyzed system. This system is based on the measurement of the final light attenuation or absorption of radiation after crossing the measured objects. The number of sensor views will affect the results of image reconstruction, where the high number of sensor views per projection will give a high image quality. This research presents an application of charge-coupled device linear sensor and laser diode in an OPT system. Experiments in detecting solid and transparent objects in crystal clear water were conducted. Two numbers of sensors views, 160 and 320 views are evaluated in this research in reconstructing the images. The image reconstruction algorithms used were filtered images of linear back projection algorithms. Analysis on comparing the simulation and experiments image results shows that, with 320 image views giving less area error than 160 views. This suggests that high image view resulted in the high resolution of image reconstruction. � 1992-2012 IEEE.en-USarea errorcharge-coupled deviceimage reconstructionOptical tomography systemsensor viewsCharge coupled devicesImage analysisImage processingObject detectionOptical tomographyCross sectional imageFiltered imagesHigh image qualityHigh resolutionImage reconstruction algorithmLight attenuationLinear back projection algorithmsTransparent objectsImage reconstructionArticle168916962748207602IIPRE