scholarly journals Improved Dark Channel Defogging Algorithm for Defect Detection in Underwater Structures

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Longsheng Bao ◽  
Chunyan Zhao ◽  
Xingwei Xue ◽  
Ling Yu
Keyword(s):  
Image Processing ◽  
Economic Loss ◽  
Objective Evaluation ◽  
Quantitative Detection ◽  
Structure Defects ◽  
Structure Detection ◽  
Dark Channel ◽  
Underwater Structure ◽  
Structural Disease ◽  
Underwater Structures

Underwater structures are crucial for national economic and social development. However, because of their complex environment, they are susceptible to damage during service. This damage should be prevented to minimize casualties and economic loss. Therefore, this study investigates the problems of disease identification and area statistics of underwater structures. To this end, the Dark-Retinex (DR) algorithm that can enhance the image of underwater structure defects is proposed. The algorithm consists of a combination of a dark channel algorithm and the Retinex algorithm. This study analyzes the current research status of underwater image processing technology, designs the overall framework of the DR algorithm, and uses the underwater structure disease image to verify the algorithm. Comparing the effect of the image with only the dark channel defogging and DR algorithm processing, the DR algorithm is observed to achieve “defogging” processing of underwater structural disease images to achieve better enhancement effects. Moreover, for accurate disease area statistics, the binary morphology and optimal threshold segmentation theories are combined to perform disease edge screening and remove interference information. Finally, accurate statistics of the proportion of diseased pixels are achieved, as well as the quantitative detection of surface diseases of underwater structures. After actual operational verification, the improved image dehazing and parallel boundary screening algorithms can achieve better application results to detect underwater structure defects and disease statistics. The objective evaluation shows that the DR algorithm facilitates image processing, can obtain relatively high-quality target images, and can solve the problems of time-consuming and labor-intensive detection of underwater structures, with significant risks and limitations. This helps pave the way for (1) the actual engineering of surface structure detection of underwater structures, (2) future storage in the database and assessment of hazard levels, and (3) a guide for engineering technicians to take corresponding maintenance measures.

scholarly journals Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Fei He ◽  
Yuxing Hu ◽  
Jian Wang
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Digital Image Processing ◽  
Detection Method ◽  
Aluminum Foil ◽  
Quantitative Detection ◽  
Test Results ◽  
Detection Time ◽  
Texture Detection ◽  
Better Than

A new method of texture detection for aluminum foil based on digital image processing technology is proposed. Top-hat transformation and image segmentation technology based on the connected domain are used to change the method of determining texture fraction by using human experience. Compared with the brightness method, pit detection method, and EBSD technology, this method can complete quantitative detection efficiently, automatically, and accurately, and reduce the detection time and manpower. It eliminates the instability of manual detection and ensures the accuracy of detection. By this method, the error of test results can be controlled within 1.6%, which is much better than 7.3% of the brightness method and 4% of the pitting method. It provides more accurate test results for the production process control of aluminum foil.

Quantitative detection of soybean rust using image processing techniques

2015 ◽  
Vol 5 (1) ◽  
pp. 75-87 ◽  
Author(s):  
Jagadeesh Devidas Pujari ◽  
◽  
Rajesh Siddarammayya Yakkundimath ◽  
Shamrao Jahagirdar ◽  
Abdul Byadgi ◽  
...  
Keyword(s):  
Image Processing ◽  
Soybean Rust ◽  
Quantitative Detection ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Natural Image Enhancement Using a Biogeography Based Optimization Enhanced with Blended Migration Operator

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
J. Jasper ◽  
S. Berlin Shaheema ◽  
S. Berlin Shiny
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Objective Evaluation ◽  
Natural Image ◽  
Edge Information ◽  
Migration Operator ◽  
Current State ◽  
Complex Optimization

This paper addresses a novel and efficient algorithm for solving optimization problem in image processing applications. Image enhancement (IE) is one of the complex optimization problems in image processing. The main goal of this paper is to enhance color images such that the eminence of the image is more suitable than the original image from the perceptual viewpoint of human. Traditional methods require prior knowledge of the image to be enhanced, whereas the aim of the proposed biogeography based optimization (BBO) enhanced with blended migration operator (BMO) algorithm is to maximize the objective function in order to enhance the image contrast by maximizing the parameters like edge intensity, edge information, and entropy. Experimental results are compared with the current state-of-the-art approaches and indicate the superiority of the proposed technique in terms of subjective and objective evaluation.

Objective evaluation of singeing efficiency by digital image processing

2015 ◽  
Vol 107 (2) ◽  
pp. 273-281 ◽  
Author(s):  
A. Khandual ◽  
G. Baciu ◽  
A. Luximon ◽  
N. Rout
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Objective Evaluation

PARAMETERIZATION OF NONLINEAR WAVE TRANSFORMATION ABOVE UNDERWATER STRUCTURES

2017 ◽  
Author(s):  
Yana Saprykina ◽  
Yana Saprykina
Keyword(s):  
Nonlinear Wave ◽  
Water Depth ◽  
Significant Wave Height ◽  
Relative Length ◽  
Wave Period ◽  
Wave Transformation ◽  
Mean Wave Period ◽  
The Mean ◽  
Underwater Structure ◽  
Underwater Structures

On the base of laboratory experiment a nonlinear wave transformation above underwater reef and trench was investigated. It was revealed that underwater trench and reef can decrease the mean wave period. Dependencies of changes of mean wave period and significant wave height on relative length of underwater structure and water depth above it were obtained. The changes of symmetry of waves passing above underwater structures are discussed.

PARAMETERIZATION OF NONLINEAR WAVE TRANSFORMATION ABOVE UNDERWATER STRUCTURES

2017 ◽  
Author(s):  
Yana Saprykina ◽  
Yana Saprykina
Keyword(s):  
Nonlinear Wave ◽  
Water Depth ◽  
Significant Wave Height ◽  
Relative Length ◽  
Wave Period ◽  
Wave Transformation ◽  
Mean Wave Period ◽  
The Mean ◽  
Underwater Structure ◽  
Underwater Structures

On the base of laboratory experiment a nonlinear wave transformation above underwater reef and trench was investigated. It was revealed that underwater trench and reef can decrease the mean wave period. Dependencies of changes of mean wave period and significant wave height on relative length of underwater structure and water depth above it were obtained. The changes of symmetry of waves passing above underwater structures are discussed.

scholarly journals Dynamic characterizations of underwater structures using noncontact vibration tests based on nanosecond laser ablation in water: evaluation of passive vibration suppression with damping materials

2017 ◽  
Vol 24 (16) ◽  
pp. 3714-3725 ◽  
Author(s):  
Naoki Hosoya ◽  
Itsuro Kajiwara ◽  
Koh Umenai ◽  
Shingo Maeda
Keyword(s):  
Frequency Response ◽  
Response Function ◽  
Frequency Response Function ◽  
Vibration Suppression ◽  
Pass Filter ◽  
Reliability Factor ◽  
Measured Frequency ◽  
Measured Frequency Response ◽  
Underwater Structure ◽  
Underwater Structures

Recently, the demand for higher performing underwater structures under diverse conditions has increased. Examples include improved precision and speed of the position control of robot manipulators. To prevent the control spillover problems when active controls are used, a control system is typically constituted with a low-pass filter to eliminate all modes except for the target modes. However, experimentally measuring the dynamic properties of an underwater structure in an environment where the structure and a fluid continuously influence each other is difficult. We have recently proposed a noncontact vibration testing method for dynamic characterizations of underwater structures in which the response to a laser ablation excitation force is measured by laser Doppler vibrometer. Integrating passive control using a vibration-damping material affixed onto the underwater structure and active control constituted with the low-pass filter may realize a more cost-effective system. To develop this combined control into a practical method, the reliability of the measured frequency response function must be validated. Additionally, the applicable frequency range must be expanded to encompass the high-frequency region (several tens of kHz) so that the vibration suppression quality of underwater structures can be evaluated. Herein we quantify the effect of random measurement errors on the measured frequency response function with a reliability factor based on the concept of coherence functions. Using the measured frequency response function with a reliability factor, we demonstrated that our method can evaluate passive vibration suppression effect of an underwater structure with a damping material in high-frequency ranges up to 20 kHz.

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