Experimental results of rapid underwater object search based on forward-looking imaging sonar

2015 ◽  
Author(s):  
Hyeonwoo Cho ◽  
Juhyun Pyo ◽  
Jeonghwe Gu ◽  
Hangil Jeo ◽  
Son-Cheol Yu
Keyword(s):  
Experimental Results ◽  
Object Search ◽  
Underwater Object ◽  
Imaging Sonar ◽  
Forward Looking

IMPLEMENTASI METODE RETINEX UNTUK MENINGKATKAN KUALITAS CITRA UNDERWATER

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Bainun Harahap
Keyword(s):  
Water Environment ◽  
Repair Process ◽  
Image Process ◽  
Two Dimensional ◽  
Two Dimensional Image ◽  
Underwater Image ◽  
Object Search ◽  
Image Improvement ◽  
Underwater Object

Digital imagery is a two-dimensional image process through a digital computer that is used to manipulate and modify images in various ways. Photos are examples of two-dimensional images that can be processed easily. Each photo in the form of a digital image can be processed through certain software devices. In the water environment, light factors greatly influence the results of image quality obtained. With the deepening of underwater shooting, the results obtained will be the darker the quality of the underwater image. Underwater imagery is widely used as an object in various activities such as underwater habitat mapping, underwater environment monitoring, underwater object search. Uneven lighting and colors that tend to be bluish and runny. One of the factors that influence the recognition results in pattern recognition is the quality of the image that is inputted. The image acquired from the source does not always have good quality. The process of improvement in digital images that experience interference in lighting and exposure to sunlight. The lighting repair process uses the retinex method and will compare the quality of the two methods later. Until later the results of both methods can be seen which is better. Retinex method can produce image improvement with high performance.Keywords: Digital Cintra, Underwater, Matlab Retinex Method

Acoustic beam profile-based rapid underwater object detection for an imaging sonar

2014 ◽  
Vol 20 (1) ◽  
pp. 180-197 ◽  
Author(s):  
Hyeonwoo Cho ◽  
Jeonghwe Gu ◽  
Hangil Joe ◽  
Akira Asada ◽  
Son-Cheol Yu
Keyword(s):  
Object Detection ◽  
Beam Profile ◽  
Acoustic Beam ◽  
Underwater Object ◽  
Imaging Sonar

A Real-time Underwater Object Detection Algorithm for Multi-beam Forward Looking Sonar

2012 ◽  
Vol 45 (5) ◽  
pp. 306-311 ◽  
Author(s):  
Enric Galceran ◽  
Vladimir Djapic ◽  
Marc Carreras ◽  
David P Williams
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Detection Algorithm ◽  
Underwater Object ◽  
Forward Looking
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