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Object recognition on x-ray images of concealed weapons project

September 22, 2012 posted in CSE Project Reports by Kasarla shanthan/Ramesh Gavva

Project Title: Object recognition on x-ray images of concealed weapons

Project Description:

Develop and test object recognition software capable of spotting key hazardous items such as scissors and knives on x-ray images of baggage. One of the state-of-the-art object recognition techniques is the Scale Invariant Feature transform (SIFT) which works well on simple items in well lit conditions, and can generally locate fairly simple objects with a degree of certaintly. Your aim will be to investigate and improve this technique, or apply others to work well on noisy and textured images.

Product Details:

Image Processing Analysis software

Resources Required:

Images (supplied), Matlab, C++, C# (all supplied).

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Hi, We kasarla shanthan and Ramesh Gavva graduated Btech from VTU / JNTU & former employees of Infrotrack / Wipro Technologies . We basically interested on web development from the graduation period. We are interested to write blogs on Projects and technology. By that initiation we created several websites including 1000projects.org. Our Hobbies are poetry, reading books, story writing writing, and web development.

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