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Object recognition on x-ray images of concealed weapons project

September 22, 2012

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).

posted in CSE Project Reports by Ramesh Gavva/Kasarla shanthan

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