Formalin Fish Detection System Based on Digital Image Processing

Author(s):  
Ika Roikhanah ◽  
Tri Harsono ◽  
Heny Yuniarti
Author(s):  
Chen Liu ◽  
Yude Dong ◽  
Yanli Wei ◽  
Jiangtao Wang ◽  
Hongling Li

The internal structure analysis of radial tires is of great significance to improve vehicle safety and during tire research. In order to perform the digital analysis and detection of the internal composition in radial tire cross-sections, a detection method based on digital image processing was proposed. The research was carried out as follows: (a) the distribution detection and parametric analysis of the bead wire, steel belt, and carcass in the tire section were performed by means of digital image processing, connected domain extraction, and Hough transform; (b) using the angle of location distribution and area relationship, the detection data were optimized through coordinate and quantity relationship constraints; (c) a detection system for tire cross-section components was designed using the MATLAB platform. Our experimental results showed that this method displayed a good detection performance, and important practical significance for the research and manufacture of tires.


Author(s):  
Sharmista Shastry ◽  
Amartya Anshuman ◽  
Vedant Tibrewal ◽  
Yogesh Kumar Choukiker

The Indian Railways are the lifeline of India's transport system. Being the fourth largest railway network in the world, it covers the length and breadth of the country. In 2018-19, 23.12 million people and 3.36 million metric tons of freight depended on the railways on a daily basis. They bind the economic life of the country and foster the development of industry and agriculture. However, poor maintenance of the railway tracks has caused several accidents over the years. Derailments due to the presence of faults in railway tracks cause heavy loss of life and railway property. Therefore, timely detection and analysis of these cracks is of utmost importance. This proposal aims at providing a cost effective solution to the problem of fault detection in railway tracks using digital image processing.


Author(s):  
Gabriel Penalber ◽  
Luiz E. S. e Silva ◽  
Kenny V. dos Santos ◽  
S. S. Waldir ◽  
Wheidima C. Melo

1994 ◽  
Vol 30 (10) ◽  
pp. 79-86 ◽  
Author(s):  
François van Hoof ◽  
Hilde Sluyts ◽  
Jozef Paulussen ◽  
Daniël Berckmans ◽  
Heidi Bloemen

A biological early warning system based on the phototactic behaviour of Daphnia magna has been evaluated in relation to the reproducibility of its response and sensitivity towards potential pollutants. In addition to the infrared detection system of the monitor, video recording and digital image processing have been used in order to obtain more information on the behaviour of the Daphnia. The biomonitor performed better with Daphnia clones selected on positive phototactic behaviour than with non selected organisms. The variations in response over a five day period were too large to allow a reliable use of the monitor. The biomonitor was not able to detect sublethal changes in behaviour. Digital image processing of video recordings yielded more information on the behaviour of the Daphnia that the infrared detection system. Using this technique it was possible to detect sublethal changes in Daphnia behaviour as well as conceptual shortcomings in the existing behaviour.


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