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Easy i-Move: Structured Image Recognition Solution for Automatic Guided Vehicles Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Seam Carving Algorithm Based on Saliency

Authors : Wen Lin, Fuquan Zhang, Renbao Lian, Lin Xu, Xueyun Chen, Linghong Kuang

Published in: Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Publisher: Springer International Publishing

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Abstract

This paper proposes a seam carving algorithm based on saliency. This algorithm makes saliency detection to the source image. Images are classified according to the gray-scale of saliency detection. Adding different energy protection methods, it can protect the foreground area of a subject and detailed areas of the edge. Then the cumulative energy map is calculated. According to the principle of deleting the minimum energy pixel, single pixel-wide carves chosen to be deleted or copied. The experimental result shows that the algorithm avoids image restoration caused by extracting too many pixels in saliency area and non equal-ratio scaling. It reduces the deformed structures caused by displacement of edge pixel and also improves the integrity of algorithm.

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Metadata
Title
Seam Carving Algorithm Based on Saliency
Authors
Wen Lin
Fuquan Zhang
Renbao Lian
Lin Xu
Xueyun Chen
Linghong Kuang
Copyright Year
2018
Book
Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Print ISBN: 978-3-319-70729-7

Electronic ISBN: 978-3-319-70730-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-70730-3_34

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