A modified fuzzy Sobel edge detector

El‐Khamy, Said E.; Lotfy, M.; El-Yamany, N.A.

doi:10.1109/nrsc.2000.838961

Cited by 36 publications

(21 citation statements)

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“…In images, edges are marked by discontinuities or significant variations in intensity or gray level, providing the location of the object contour [52,53]. Edge detection, one of the fundamental and most important problems in the field of lower level image processing, plays a very important role in the realization of a complete vision based understanding/monitoring system for automatic scene analysis/monitoring [54].…”

Section: Sobel Edge Detectormentioning

confidence: 99%

Contrast Limited Adaptive Histogram Equalization Based Fusion for Underwater Image Enhancement

Fan

Yang

et al. 2017

Preprint

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Abstract:In order to improve contrast and restore color for underwater image captured by camera sensors without suffering from insufficient details and color cast, a fusion algorithm for image enhancement in different color spaces based on contrast limited adaptive histogram equalization (CLAHE) is proposed in this article. The original color image is first converted from RGB color space to two different special color spaces: YIQ and HSI. The color space conversion from RGB to YIQ is a linear transformation, while the RGB to HSI conversion is nonlinear. Then, the algorithm separately operates CLAHE in YIQ and HSI color spaces to obtain two different enhancement images. The luminance component (Y) in the YIQ color space and the intensity component (I) in the HSI color space are enhanced with CLAHE algorithm. The CLAHE has two key parameters: Block Size and Clip Limit, which mainly control the quality of CLAHE enhancement image. After that, the YIQ and HSI enhancement images are respectively converted backward to RGB color. When the three components of red, green, and blue are not coherent in the YIQ-RGB or HSI-RGB images, the three components will have to be harmonized with the CLAHE algorithm in RGB space. Finally, with 4 direction Sobel edge detector in the bounded general logarithm ratio operation, a self-adaptive weight selection nonlinear image enhancement is carried out to fuse YIQ-RGB and HSI-RGB images together to achieve the final fused image. The enhancement fusion algorithm has two key factors: average of Sobel edge detector and fusion coefficient, and these two factors determine the effects of enhancement fusion algorithm. A series of evaluate metrics such as mean, contrast, entropy, colorfulness metric (CM), mean square error (MSE) and peak signal to noise ratio (PSNR) are used to assess the proposed enhancement algorithm. The experiments results showed that the proposed algorithm provides more detail enhancement and higher values of colorfulness restoration as compared to other existing image enhancement algorithms. The proposed algorithm can suppress effectively noise interference, improve the image quality for underwater image availably.

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Section: Sobel Edge Detectormentioning

confidence: 99%

Contrast Limited Adaptive Histogram Equalization Based Fusion for Underwater Image Enhancement

Fan

Yang

et al. 2017

Preprint

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“…It was in 1965 when Zadeh put forward the concept of fuzzy logic and it gained popularity in the image processing field soon. Many techniques have been proposed by various researchers for fuzzy logic based edge detection [13], [14], [15]. Zhao [16], proposed an edge detection algorithm by dividing an image into 3-fuzzy partitions or regions and then computing the maximum entropy to find the best edge.…”

Section: Fuzzy Logic and Its Usesmentioning

confidence: 99%

Real-Time Traffic Control System using Fuzzy Logic based Edge Detector for Images

Datta¹,

Mukherjee²

2015

IJCA

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With the rising traffic congestion, an efficient method to control traffic and ensuring proper signalling has become very important. A number of methods are used worldwide to control and signal road traffic. We propose a method based on image processing to determine the density of vehicles on a particular lane of a road and control the signal accordingly. For each road crossing, screenshots will be taken from live feeds to determine the traffic density of a road and then based on an efficient fuzzy logic based edge detector; a comparative analysis of traffic density will be performed. Traffic signalling will be done so as to ensure that the busiest road gets the green signal at the earliest and for the longest duration. The second busiest road will get the green signal next and for a lesser duration. Signalling of other roads will be done accordingly. We have utilised a fuzzy rule based edge detection algorithm which is accurate and efficient. General TermsImage Processing, Fuzzy Logic.

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“…The edge information shall be detected by the 1st differential function such as Prewitt operator, Robert operator and Sobel operator or the 2nd differential function such as Laplacian operator or other many methods [12].…”

Section: E Development Of Image Processing Technologymentioning

confidence: 99%

Design of construction stability test system using small unmanned aerial vehicle based on image processing

Choi

Kim

2014

16th International Conference on Advanced Communication Technology

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-Stability test of high-rise buildings must be achieved periodically for the buildings' maintenance, but there are many problems that it is dangerous for inspector to make a personal test, it needs much time and cost, and accurate diagnosis is difficult. This paper proposes a monitoring system for construction stability test based on image processing to analyze and process data from sensors in the vehicle to inspect internal and exterior crack and deformation of constructions by using unmanned aerial vehicle. The system loads various sensors such as temperature sensor, humidity sensor, smoke sensor, illuminance sensor, CO2 sensor, ultrasonic sensor, and infrared thermal imaging sensor and can achieve stability inspection. So, It can reduce inspection time and building's maintenance cost.

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A modified fuzzy Sobel edge detector

Cited by 36 publications

References 1 publication

Contrast Limited Adaptive Histogram Equalization Based Fusion for Underwater Image Enhancement

Contrast Limited Adaptive Histogram Equalization Based Fusion for Underwater Image Enhancement

Real-Time Traffic Control System using Fuzzy Logic based Edge Detector for Images

Design of construction stability test system using small unmanned aerial vehicle based on image processing

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