Image de-fencing using histograms of oriented gradients

Autor: Muhammad Murtaza Yousaf, Kashif Murtaza, Syed Mansoor Sarwar, Madiha Khalid
Rok vydání: 2018
Předmět:
Zdroj: Signal, Image and Video Processing. 12:1173-1180
ISSN: 1863-1711
1863-1703
DOI: 10.1007/s11760-018-1266-0
Popis: Image de-fencing is often used by digital photographers to remove regular or near-regular fence-like patterns from an image. The goal of image de-fencing is to remove a fence object from an image in such a seamless way that it appears as if the fence never existed in the image. This task is mainly challenging due to a wide range intra-class variation of fence, complexity of background, and common occlusions. We present a novel image de-fencing technique to automatically detect fences of regular and irregular patterns in an image. We use a data-driven approach that detects a fence using encoded images as feature descriptors. We use a variant of the histograms of oriented gradients (HOG) descriptor for feature representation. We modify the conventional HOG descriptor to represent each pixel rather than representing a full patch. We evaluated our algorithm on 41 different images obtained from various sources on the Internet based on a well-defined selection criteria. Our evaluation shows that the proposed algorithm is capable of detecting a fence object in a given image with more than 98% accuracy and 87% precision.
Databáze: OpenAIRE
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