Underwater object detection and localization based on multi-beam sonar image processing

2012 ◽  
Author(s):  
Li-Yuan Weng ◽  
Min Li ◽  
Zhenbang Gong ◽  
Shugen Ma
Keyword(s):  
Image Processing ◽  
Object Detection ◽  
Sonar Image ◽  
Underwater Object ◽  
Detection And Localization

On Sonar Image Processing Techniques for Detection and Localization of Underwater Objects

2012 ◽  
Vol 236-237 ◽  
pp. 509-514 ◽  
Author(s):  
Li Yuan Weng ◽  
Min Li ◽  
Zhen Bang Gong
Keyword(s):  
Image Processing ◽  
Median Filter ◽  
Localization System ◽  
Image Processing Techniques ◽  
Sonar Image ◽  
Otsu Method ◽  
Tracing Algorithm ◽  
Underwater Object ◽  
Processing Techniques ◽  
Detection And Localization

This paper presents an underwater object detection and localization system based on multi-beam sonar image processing techniques. Firstly, sonar data flow collected by multi-beam sonar is processed by median filter to reduce noise. Secondly, an improved adaptive thresholding method based on Otsu method is proposed to extract foreground objects from sonar image. Finally, the object’s contour is calculated by Moore-Neighbor Tracing algorithm to locate the object. Experiments show that the proposed system can detect underwater objects quickly and the figure out the position of objects accurately.

scholarly journals Underwater Object Detection using Tensorflow

2020 ◽  
Vol 32 ◽  
pp. 03037
Author(s):  
Avinash Mahavarkar ◽  
Ritika Kadwadkar ◽  
Sneha Maurya ◽  
Smitha Raveendran
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Image Processing ◽  
Computer Vision ◽  
Object Detection ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Computer Vision Technology ◽  
Underwater Object ◽  
Suitable Environment

Object Detection is a popular technology that detects instances within an image. In order to eliminate the barriers in Computer Vision technology due to the dissolution of the BGR(Blue-Green-Red) constituents with the increase in depth, it has been a necessity that the accuracy and efficiency of detecting any object underwater is optimum. In this article, we conduct Underwater Object Detection using Machine Learning through Tensorflow and Image Processing along with Faster R-CNN (Regions with Convolution Neural Network) as an algorithm for implementation. A suitable environment will be created so that Machine Learning algorithm will be used to train different images of the object. Open source Computer Vision has various functions which can be used for the image processing needs when an image is captured.

Realistic Sonar Image Simulation Using Deep Learning for Underwater Object Detection

2020 ◽  
Vol 18 (3) ◽  
pp. 523-534 ◽  
Author(s):  
Minsung Sung ◽  
Jason Kim ◽  
Meungsuk Lee ◽  
Byeongjin Kim ◽  
Taesik Kim ◽  
...  
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Image Simulation ◽  
Sonar Image ◽  
Underwater Object

scholarly journals Object Detection Robot Using Fuzzy Logic Controller Through Image Processing

2021 ◽  
Vol 1737 (1) ◽  
pp. 012045
Author(s):  
M Khairudin ◽  
S Yatmono ◽  
AC Nugraha ◽  
M Ikhsani ◽  
A Shah ◽  
...  
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Object Detection ◽  
Fuzzy Logic Controller
Sign in / Sign up

Export Citation Format

Share Document