Automated fish cage net inspection using image processing techniques
نویسندگان
چکیده
منابع مشابه
Automated Sewer Inspection Using Image Processing and a Neural Classifier
The focus of the research presented here is on the automated assessment of sewer pipe conditions using a laserbased sensor. The proposed method involves image and data processing algorithms categorising signals acquired from the internal pipe surface. Fault identification is carried out using a neural network. Experimental results are presented.
متن کاملAutomated Sewer Pipe Inspection through Image Processing
An innovative inspection method to assess the condition of sewer pipes is proposed in this paper. The standard sewer inspection technique, based on closed-circuit television systems, has a very poor performance. A video camera is mounted on a robot and the video recording is provided off-line to an engineer that classifies the potential defects. The focus of the research is the automated identi...
متن کاملAssessing of Fabric Appearance Changes Using Image Processing Techniques
This paper describes the use of image processing to measure lightness changes of fabric appearance. The lightness changes due to dyeing, washing and exposure to light treatments are studied. These properties are measured by using the changes in the intensity levels of the fabrics image and the L* obtained by a spectrophotometer. For each case, analysis of variance (ANOVA) is carded out and the...
متن کاملAutomated Verification of Mesoscale Forecasts using Image Processing Techniques
The APL atmospheric sciences group is working to improve forecaster performance at Navy operational weather forecast detachments afloat and ashore. This work encompasses broad research and technology development in areas of visualization, human factors, human-machine interaction, and model and forecast verification with an emphasis on mesoscale ensembles and visualization of uncertainty. The ve...
متن کاملEyer : Automated counting of ommatidia using image processing techniques
Woodman, Peter N., Amy M. Todd, and Brian E. Staveley. NOTUS Electronics Ltd., St. John's, Newfoundland and Labrador, Canada, A1E 1W6; telephone (709) 753-0652. Department of Biology, Memorial University of Newfoundland, St. John’s, Newfoundland & Labrador, Canada, A1B 3X9; telephone (709) 864-4317; telefax (709) 864-3018; Corresponding author: Dr. Brian E. Staveley; e-mail address: [email protected]
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IET Image Processing
سال: 2020
ISSN: 1751-9659,1751-9667
DOI: 10.1049/iet-ipr.2019.1667