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Multi-Resolution Gabor Descriptor for Corrosion Detection in Pipeline Video Sequences

The work, in this paper, is dealing with texture analysis of internal pipeline video sequences in order to detect the corrosion indications. Our application concerns internal pipeline videos, that we have acquired using a pipeline endoscope named ”Pipe-Explorer”. The video processing consists of: recovering the input video into different frames; each frame is divided into different patches and each patch has to be classified as corroded region or safe one, using as image features a set of well-known and powerful texture descriptors such as FLBP, Haralick, HOG and Gabor descriptors. In this paper, a new texture descriptor based on the application of 1-D wavelet transform on the Gabor descriptor, which is called Wavelet Transform-Based Gabor descriptor (WTBG). Through the experiments, it has been shown that the new descriptor outperforms the other descriptors, in terms of classification rate of corrosion indications. The different processed frames are assembled to build an output video on which the corroded regions appear in red frames, as shown in Experiments.