Local recoloring algorithm based on image segmentation

Guangyou Xia; Chunyan Peng; Xiaojuan Zhang

doi:10.1117/12.2626652

20 December 2021 Local recoloring algorithm based on image segmentation

Guangyou Xia, Chunyan Peng, Xiaojuan Zhang

Proceedings Volume 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021); 121550F (2021) https://doi.org/10.1117/12.2626652
Event: International Conference on Computer Vision, Application, and Design (CVAD 2021), 2021, Sanya, China

Abstract

When the traditional image recoloring algorithms recolor the local objects in the image, other regions with similar colors in the image will be also changed and the color leakage will be occurred. This paper presents a local recoloring algorithm based on image segmentation. Firstly, our proposed algorithm segments the target region by using the improved GrabCut image segmentation algorithm based on bilateral filtering, so the edge of the target region is smoothed to solve the problem of under segmentation and reduce the edge sawtooth of the segmentation result. Secondly, the image recoloring algorithm can be used to recolor the segmented target region. Finally, the target region is superimposed with the original image to realize the local recoloring of the image. The experimental and theoretical analysis show that our algorithm can solve the problem of color leakage and achieve local recoloring compared with the traditional image recoloring algorithm. The proposed local recoloring algorithm has a significant improvement in structural similarity (SSIM) compared with other image recoloring algorithms.

Citation Download Citation

Guangyou Xia, Chunyan Peng, and Xiaojuan Zhang "Local recoloring algorithm based on image segmentation", Proc. SPIE 12155, International Conference on Computer Vision, Application, and Design (CVAD 2021), 121550F (20 December 2021); https://doi.org/10.1117/12.2626652

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KEYWORDS

Image segmentation

Image processing algorithms and systems

Detection and tracking algorithms

RGB color model

Image processing

Image filtering

Image quality

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