Computer vision algorithm to extract color data of pixels in microfluidic paper based analytical devices
| dc.contributor.author | Deotale, Saurabh, author | |
| dc.contributor.author | Beveridge, James Ross, advisor | |
| dc.contributor.author | Blanchard, Nathaniel, committee member | |
| dc.contributor.author | Henry, Charles, committee member | |
| dc.date.accessioned | 2021-09-06T10:24:22Z | |
| dc.date.available | 2021-09-06T10:24:22Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Microfludic paper-based devices are fast becoming an inexpensive and faster option than traditional methods for substance detection and chemical measurements. These devices are designed to be used in the field for quicker result. One hurdle towards that goal is a manual step of data extraction from the images of these devices for further analysis and results. This involves identifying and extracting color data from specific regions of interest. The color data is the color values in BGR and HSV color channels of the pixels lying in these regions of interest. The manual demands labor and time that can avoided by automating this process using computer vision techniques. The goal of this thesis is to aid chemists by automating the data extraction process. This thesis presents a layered algorithm which uses simple techniques like region growing and thresholding in conjunction with leveraging the knowledge of the device design to extract the required data. This data is then labeled and compiled in CSV file for further analysis. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Deotale_colostate_0053N_16595.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/233675 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | data extraction | |
| dc.subject | region growing | |
| dc.subject | microfludic paper-based devices | |
| dc.subject | computer vision algorithm | |
| dc.title | Computer vision algorithm to extract color data of pixels in microfluidic paper based analytical devices | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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