Juliza Jamaludin

Online Optical Tomography System for Detecting and Measuring the Diameters of Solid and Transparent Objects

This paper presents an application of a charge coupled device (CCD) linear sensor and laser diode in an optical tomography (OPT) system. OPT is a non-invasive and non-intrusive tomography system consisting of an emitter with detectors. This paper is conducted in order to analyze and prove the capability of a laser with a CCD in an OPT system for detecting and measuring the diameter of an object that exists in crystal clear water. Experiments in detecting and capturing static solid and transparent objects are conducted using this hardware and software development. Statistical engineering methods were applied to analyze and validate the experimental data. Investigations of the effect of number of sensor views and object opacity level were also carried out in this paper. In conclusion, this paper has successfully developed an OPT system that is capable of detecting the appearance and measuring the diameter of objects with different opacity levels in non-flowing crystal clear water.

Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device

Optical 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.