Unsupervised color coding for visualizing image classification results. (April 2018)

• Record Type: Journal Article
• Authors: Bianco, Simone; Schettini, Raimondo
• Is Part Of: Information visualization. Volume 17:Number 2(2018)
• Page Start: 161
• Page End: 177
• Publication Date: 2018-04
• Subjects: Image segmentation -- high-contrast colors -- color-class association -- optimization; Information visualization -- Periodicals; 006.605
• DOI: 10.1177/1473871617700682
• Languages: English
• ISSNs: 1473-8716

Abstract

In this article, we describe a general purpose system that, given as input a segmented/classified image, automatically provides different visual outputs exploiting solid colors, color boundaries, and transparent colors. Moreover, if the names of the classes are given, the system automatically places a textual label in the less salient sub-region of the corresponding class. For color-class association and class label placement, we take into account the underlying image color and structure exploiting both saliency and superpixel representation. The color selection and the color-class association are formulated both as optimization problems and heuristically solved using a Local Search procedure. Results show the effectiveness of the proposed system on images having different content and different number of annotated regions.