Lazy Coloring of Images with Closed Regions

MPhil Thesis Defence


Title: "Lazy Coloring of Images with Closed Regions"

By

Mr. Pengfei Xu


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 
possible intention of the user is estimated by grouping regions that share 
common properties. By matching the position 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.


Date:			Monday, 16 January 2011

Time:			3:00pm – 5:00pm

Venue:			Room 3501
 			Lifts 25/26

Committee Members:	Dr. Chiew-Lan Tai (Supervisor)
 			Prof. Long Quan (Chairperson)
 			Dr. Pedro Sander


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