THESIS
2012
xii, 44 p. : ill. ; 30 cm
Abstract
Adding colors to images is a common operation in image manipulation. Many works have
been proposed to facilitate this colorization process targeting at different types of input images.
However, these methods require users to indicate regions by precise clicks or strokes, which
is a tedious process and difficult to operate on touch devices due to the well-known fat finger
problem. In this thesis, we propose a new tool which is able to determine meaningful regions
when the user draws a rough stroke to colorize an image. The input image is composed of
well-defined closed regions, which can be a template image, or extracted from a cartoon or line
drawing image by segmentation. The correlations between pairs of regions are pre-analyzed before
editing. When a stroke is drawn, the poss...[
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Adding colors to images is a common operation in image manipulation. Many works have
been proposed to facilitate this colorization process targeting at different types of input images.
However, these methods require users to indicate regions by precise clicks or strokes, which
is a tedious process and difficult to operate on touch devices due to the well-known fat finger
problem. In this thesis, we propose a new tool which is able to determine meaningful regions
when the user draws a rough stroke to colorize an image. The input image is composed of
well-defined closed regions, which can be a template image, or extracted from a cartoon or line
drawing image by segmentation. The correlations between pairs of regions are pre-analyzed before
editing. When a stroke is drawn, the possible intention of the user is estimated by grouping
regions that share common properties. By matching the location and shape information between
candidate groups and the stroke, the candidate groups are ordered to capture their possibilities
to be the intended colorization regions. The group with the best score is returned as the default
colorization result, and an ordered list of candidate groups is displayed for possible selection
of alternative colorization results. Our tool allows regions that share common properties to be
colorized using a single stroke, drawn only roughly, making our tool suitable for touch-based
interfaces. We conducted a user study to demonstrate the convenience of our tool.
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