Automated image-based quality control of molecularly imprinted polymer films

Way, Andrew R. (2019) Automated image-based quality control of molecularly imprinted polymer films. Masters thesis, Memorial University of Newfoundland.

[img] [English] PDF - Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.

Download (14MB)


We present results of applying a feature extraction process to images of coatings of molecularly imprinted polymers (MIPs) coatings on glass substrates for defect detec- tion. Geometric features such as MIP side lengths, aspect ratio, internal angles, edge regularity, and edge strength are obtained by using Hough transforms, and Canny edge detection. A Self Organizing Map (SOM) is used for classification of texture of MIP surfaces. The SOM is trained on a data set comprised of images of manufactured MIPs. The raw images are first processed using Hough transforms and Canny edge detection to extract just the MIP-coated portion of the surface, allowing for surface area estimation and reduction of training set size. The training data set is comprised of 20-dimensional feature vectors, each of which is calculated from a single section of a gray scale image of a MIP. Haralick textures are among the quantifiers used as feature vector components. The training data is then processed using principal component analysis to reduce the number of dimensions of the data set. After training, the SOM is capable of classifying texture, including defects.

Item Type: Thesis (Masters)
Item ID: 14303
Additional Information: Includes bibliographical references (pages 100-103).
Keywords: quality control, computer vision, Machine learning, molecularly imprinted polymers, self organizing map
Department(s): Science, Faculty of > Computational Science
Date: October 2019
Date Type: Submission
Library of Congress Subject Heading: Imprinted polymers--Quality control--Computer simulation.

Actions (login required)

View Item View Item


Downloads per month over the past year

View more statistics