National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Ultrasound image registration based on active contours
Hesko, Branislav ; Jakubíček, Roman (referee) ; Harabiš, Vratislav (advisor)
This diploma thesis aims to implement an active contour method for ultrasound image segmentation. Properties of ultrasound images, basic segmentation approaches and a~principle of choosen active contour methods are described within theoretical part. Two different groups of active contour methods exists, methods with use of gradient and without use of gradient as image feature. For comparision, one method of each group is implemented in practical part and subsequently, segmentation efficiency and properties of methods are compared in evaluation part.
Ultrasound image registration based on active contours
Hesko, Branislav ; Jakubíček, Roman (referee) ; Harabiš, Vratislav (advisor)
This diploma thesis aims to implement an active contour method for ultrasound image segmentation. Properties of ultrasound images, basic segmentation approaches and a~principle of choosen active contour methods are described within theoretical part. Two different groups of active contour methods exists, methods with use of gradient and without use of gradient as image feature. For comparision, one method of each group is implemented in practical part and subsequently, segmentation efficiency and properties of methods are compared in evaluation part.
Segmentation of Ultrasound Images Based on Active Contours for Image Registration
Hesko, B.
This paper describes the implementation of the segmentation method applied on ultrasound images, which is based on active contour models. The physical meaning of these models is represented by energy minimalisation of initially defined curve. Energy could be written as a weighted sum of internal and external energy. Internal energy is strictly dependent on the properties of the curve and external energy si represented by a feature extracted from the image. First and second derivative of the curve is used to calculate internal energy and Laplacian of the image as a feature to calculate external energy. Total energy is minimised by iteratively moving points of the curve. Achieved results and persistent problems are evaluated, suggesting the way the future work should lead.

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