2026-09-20T19:43:30Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1230252026-06-06T00:49:40Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
V. Michael Bove.
Fan, Xueqi.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2019-11-22T00:02:58Z
2019-11-22T00:02:58Z
2019
2019
https://hdl.handle.net/1721.1/123025
1127649351
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 55-58).
In this thesis, I propose a system that helps users with various design backgrounds create a logo with tools that extract and analyze dominant colors and shapes from the input logo; and output a collection of inspirational images comprised of shape and color transformations of the original design and similar existing logos in the market. The system encourages collaboration between computers and the human users and contains components that feed the users information as well as components that allow the users to record and produce inspiring thoughts. The system also introduces randomness in the data returned to the user as part of the analysis and inspirations to reduce the amount of interference with the creative process during logo design.
by Xueqi Fan.
M.Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
58 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
A feedback tool for a better logo design experience
Thesis
application/pdf
2019-11-22T00:02:57Z
Publication
Master
EECS
unknown
unknown
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