ADAPTIVE LANDMARK IDENTIFICATION BASED ON PERTINENT REGION EXTRACTION
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 4
Abstract
The main purpose of this paper is about the relative merits of automated feature detection protocols on cephalometric- related digital radiology images. While the domain dependent techniques such as handcrafted masks are shown to be more accurate than pixel-based domain independent methods, the process for determining these shapes was unwieldy with respect to time taken and subjectivity. This paper discusses the use of a Pulse-Coupled Neural Network (PCNN) technique as a segmentation technique for parts of a radiology image. The results of this investigation showed a significant improvement in detection performance when compared to the handcrafted shapes when applied to several cephalometric landmarks. This encouraging outcome augurs well for a nearautomated feature detection protocol for such medical- related radiology images.
Authors and Affiliations
C. Senthil Kumar
Keywords
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