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3D Stereovision for Quantification of Skin Diseases

Shah, Nimish (2020) 3D Stereovision for Quantification of Skin Diseases.

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Abstract:Skin diseases are among the most common health problems worldwide and are associated with considerable comorbidities. The objective and accurate quantification of the severity is essential to monitor the progress of the disease and healing, observe the effects of medication, and effective decision-making on the treatment method. Psoriasis is one of such diseases affecting 2-3% of the global population. To evaluate the degree of severity of the disease PASI index is widely used. PASI assigns the single objective score ranging from 0 to 72; nonetheless, each region’s score is determined subjectively. The purpose of the thesis is to design a stereo camera capable of differentiating between induration levels of PASI. To increase the area of reconstruction ES-EKF SLAM is investigated. Experiments are conducted on simulated data and real data. In the case of simulated data, the use of a gyroscope is also investigated. The initial prototype of the stereo camera has sufficient depth resolution to differentiate between the different levels of induration in accordance with PASI. The ES-EKF SLAM is also capable of generalizing the camera trajectory and object reconstruction. It is seen that the ES-EKF SLAM with only visual information is not robust, and additional sensors are required.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general, 53 electrotechnology, 54 computer science
Programme:Electrical Engineering MSc (60353)
Link to this item:http://purl.utwente.nl/essays/85105
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