Avian plumage coloration is known to be responsible for many important functions like species identification, camouflage, understanding evolutionary relationships and impact of environmental conditions on habitat and breeding. Bird plumage color quantification refers to the approach of characterizing the plumage coloration observed in individual birds using colorimetric values such as the hue, saturation, brightness,patch size and is an important trait for ecologists. Current color quantification approaches require the user to manually draw a closed contour that encloses the plumage color patch to be analyzed, using an image editing software. Such manual scoring approaches are extremely time consuming and prone to problems like low repeatability and inter observer errors. There is therefore a need for an automated system for plumage color extraction and quantification. The Automated Bird ColOration QuanTification software developed at the IVU lab is a completely automated system that extracts and quantifies plumage coloration in digital images. It has a simple GUI interface that provides the user with different options for storing results and batch processing of images. The various output options include the option to save coloration values in an excel sheet and the option to save an output image that shows a closed contour enclosing the extracted plumage patch in the original image.
Copyright (c) 2012-2014 Arizona Board of Regents. All Rights Reserved. Contact: Lina Karam (email@example.com) and Tejas Borkar (firstname.lastname@example.org) Image, Video, and Usabilty (IVU) Lab, http://ivulab.asu.edu , Arizona State University This copyright statement may not be removed from any file containing it or from modifications to these files. This copyright notice must also be included in any file or product that is derived from the source files. Redistribution and use of this code in source and binary forms, with or without modification, are permitted provided that the following conditions are met: - Redistribution's of source code must retain the above copyright notice, this list of conditions and the following disclaimer. - Redistribution's in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. - The Image, Video, and Usability Laboratory (IVU Lab, http://ivulab.asu.edu) is acknowledged in any publication that reports research results using this code, copies of this code, or modifications of this code. The code and our papers are to be cited in the bibliography as: T. S. Borkar and L. J. Karam, "Automated Bird Plumage Coloration Quantification in Digital Images," 10th International Symposium on Visual Computing (ISVC), Dec. 2014. http://ivulab.asu.edu/software/coloration/abcot T. S. Borkar, "Automated Animal Coloration Quantification in Digital Images using Dominant Colors and Skin Classification," Master's thesis, Arizona State University, December 2013. DISCLAIMER: This software is provided by the copyright holders and contributors "as is" and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the Arizona Board of Regents, Arizona State University, IVU Lab members, authors or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.
Note: The ABCOT Software is available for download at the link below. The provided zip file is password protected. Please email us at email@example.com and we will send you the needed password to unzip the file. The ABCOT Software is being continuously updated and tested on extensive datasets of bird images and you will be informed about new releases as they become available. If you would like to contribute to improving the scope of the ABCOT software by providing test images of different bird species used for coloration analysis, please contact us at firstname.lastname@example.org.