FPGA-based Image Analysis System for Cotton Classing
The design and implementation of an FPGA (field-programmable gate array) based image analysis system was undertaken to replace an older system whose components have become obsolete. Video from an analog camera is digitized by a video decoder. The data from the video decoder is stored in memory and t...
Main Author: | |
---|---|
Published: |
Trace: Tennessee Research and Creative Exchange
2007
|
Subjects: | |
Online Access: | http://trace.tennessee.edu/utk_gradthes/222 |
id |
ndltd-UTENN-oai-trace.tennessee.edu-utk_gradthes-1255 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-UTENN-oai-trace.tennessee.edu-utk_gradthes-12552011-12-13T16:24:29Z FPGA-based Image Analysis System for Cotton Classing Sharafat, Muhammad Imran The design and implementation of an FPGA (field-programmable gate array) based image analysis system was undertaken to replace an older system whose components have become obsolete. Video from an analog camera is digitized by a video decoder. The data from the video decoder is stored in memory and then processed using an FPGA. The results are then transmitted over a universal serial bus (USB) to a host personal computer for additional processing. The system also controls the timing of a flash to correctly capture the images; it measures color and reflectance and is used to classify the quality of raw cotton by determining the concentration of impurities (e.g. leaves or trash). The original system is first described and the need for upgrading presented. The goals of the new system are then specified and its implementation presented along with the design space tradeoffs that were considered. Finally, the results obtained from using the new system are presented to demonstrate its effectiveness. 2007-12-01 text http://trace.tennessee.edu/utk_gradthes/222 Masters Theses Trace: Tennessee Research and Creative Exchange Electrical and Computer Engineering |
collection |
NDLTD |
sources |
NDLTD |
topic |
Electrical and Computer Engineering |
spellingShingle |
Electrical and Computer Engineering Sharafat, Muhammad Imran FPGA-based Image Analysis System for Cotton Classing |
description |
The design and implementation of an FPGA (field-programmable gate array) based image analysis system was undertaken to replace an older system whose components have become obsolete. Video from an analog camera is digitized by a video decoder. The data from the video decoder is stored in memory and then processed using an FPGA. The results are then transmitted over a universal serial bus (USB) to a host personal computer for additional processing. The system also controls the timing of a flash to correctly capture the images; it measures color and reflectance and is used to classify the quality of raw cotton by determining the concentration of impurities (e.g. leaves or trash). The original system is first described and the need for upgrading presented. The goals of the new system are then specified and its implementation presented along with the design space tradeoffs that were considered. Finally, the results obtained from using the new system are presented to demonstrate its effectiveness. |
author |
Sharafat, Muhammad Imran |
author_facet |
Sharafat, Muhammad Imran |
author_sort |
Sharafat, Muhammad Imran |
title |
FPGA-based Image Analysis System for Cotton Classing |
title_short |
FPGA-based Image Analysis System for Cotton Classing |
title_full |
FPGA-based Image Analysis System for Cotton Classing |
title_fullStr |
FPGA-based Image Analysis System for Cotton Classing |
title_full_unstemmed |
FPGA-based Image Analysis System for Cotton Classing |
title_sort |
fpga-based image analysis system for cotton classing |
publisher |
Trace: Tennessee Research and Creative Exchange |
publishDate |
2007 |
url |
http://trace.tennessee.edu/utk_gradthes/222 |
work_keys_str_mv |
AT sharafatmuhammadimran fpgabasedimageanalysissystemforcottonclassing |
_version_ |
1716390454170222592 |