Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
On active contour models and balloons
CVGIP: Image Understanding
Active shape models—their training and application
Computer Vision and Image Understanding
Computer Graphics in C#: Principles and Practices
Computer Graphics in C#: Principles and Practices
On the selection of an optimal wavelet basis for texture characterization
IEEE Transactions on Image Processing
Automated non-intrusive cargo inspection system using gamma-ray imaging (ROBOSCAN 1M)
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
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Sediment analysis using data obtained from a profiler helps geologists to interpret and classify different structural layer of the sea and ocean floor. Different sonar can be used (the monobeam, the multibeam, or the side-scan) and several sonar specific image profiles are recorder. The process of interpretation is made exclusively by a human expert analysis of a paper print or a display image, therefore leading to misinterpretations and a long time required to process a great amount of recorder data. There is a immediate need to create an automatic or semiautomatic system in order to speed up the interpretation process, allowing more time to data refinement that to brute interpretation. In this article we propose the use of two image processing techniques which characterize the recorder data using sediment layer contour extraction and inter-layer texture analysis. The results based on real data are compared with the ones obtained from a geologist and confirms the proposed approach.