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The segmentation of a single material reflectance is a challenging problem due to the considerable variation in image measurements caused by the geometry of the object, shadows, and specularities. The combination of these effects has been modeled by the dichromatic reflection model. However, the application of the model to real-world images is limited due(More)
The segmentation method proposed in this paper is based on the observation that a single physical reflectance can have many different image values. We call the set of all these values a dominant colour. These variations are caused by shadows, shading and highlights and due to varying object geometry. The main idea is that dominant colours trace connected(More)
Automatic separation of text and symbols from graphics in document image is one of the fundamental aims in graphics recognition. In maps, separation of text and symbols from graphics involves many challenges because the text and symbols frequently touch/overlap with graphical components. Sometimes the colors in a single character are gradually distributed(More)
In this paper, computational methods are proposed to compute color edge saliency based on the information content of color edges. The computational methods are evaluated on bottom-up saliency in a psychophysical experiment, and on a more complex task of salient object detection in real-world images. The psychophysical experiment demonstrates the relevance(More)
One main process in Computer Vision is image segmenta-tion as a tool to other visual tasks. Although there are many approaches to grey scale image segmentation, nowadays most of the digital images are colour images. This paper introduces a new method for colour image segmentation. We focus our work on a topological study of colour distribution , e.g., image(More)
Automatic separation of Text and Graphic Symbols in document images is one of the fundamental aims in Graphics Recognition. In Maps, separation of Text and Graphic Symbols involves many challenges because the text and symbol frequently touches/overlaps to the long lines of street, river, border of the regions etc. of the maps with similar color. Sometimes(More)
We introduce Erosion Band Signatures (EBS), which are a codification of the spatial coherence of features extracted from a region. This coherence is often lost in traditional global and local feature extraction methods, thereby diminishing a feature’s discriminative strength. The erosion band signature is generated through iterative erosions of the region(More)