Seminar about “X-Ray Image Segmentation using Fuzzy index measure with PCA” at Faculty of Computing in Rabigh
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Mr.
H.Mohamed Shajahan presented a seminar about “X-Ray Image Segmentation
using Fuzzy index measure with PCA” in Faculty of Computing and
Information Technology in Rabigh on Monday 9/4/2012 at 12:00 noon. FCITR
faculty members attended the seminar. The following is the brief of the
seminars:
The aim of computer based image segmentation is to isolate/
distinguish/subdivide a digital image into its constituent parts or
objects. Image segmentation is often used as an initial transformation
for general image analysis and understanding. It is useful in
visualization of the different objects present in the image, for example
separation of the soft bonny tissues and background on the lateral
skull x-ray an important role in producing cephalometric tracing and
hence producing accurate cephalometric evaluation used in orthodontics
practice is necessary.
The objective of this research is to segment the graylevel image by
splitting the image into three crisp subsets. One is background
(black), second one is skin subset (gray), and third one is bones subset
(white) using the measure of fuzzy entropy as defined. The fuzzy
subsets are associated with the normalized image histogram intervals.
The final result of this system is the segmented output of the Xray
Image into Bone , Background and Skin area.By Adding Principle component
analysis (PCA) the internal level bones are also accurately identified.
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