Efficient region proposals for polip detection

Vitjan Zavrtanik (2016) Efficient region proposals for polip detection. EngD thesis.

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Abstract

In this thesis we deal with the issue of polyp detection in images of oysters. Modern methods of object detection are often composed of two parts. Firstly we use a fast region proposal method to generate hypothetical regions in places where objects are located with a higher probability. We then use a strong classifier to verify the proposed hypothetical regions. We address the issue of the first part of the object detection pipeline and we propose a new region proposal method for the purpose of detecting polyps in images of oysters. We compared the results of our method with other region proposal methods such as ACF and Selective Search. We also propose a metric for region proposal method performance based on the AR metric. Polyp detection is a hard problem to solve due to the visual properties of individual polyps as they often vary in size, orientation and opacity which causes them to blend with their surroundings and can often make reliable detection difficult.

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