Robust image hashing based on color vector angle and Canny operator

Tang, Zhenjun; Huang, Liyan; Zhang, Xianquan; Lao, Huan

doi:10.1016/j.aeue.2016.03.010

Cited by 58 publications

(45 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was analyzed by the morphology method for the image processing after the image edge has been detected [17]. All backgrounds which are contacted with pits were merged into pits by dilatation, and at the same time, the border spread outward to fill in the holes.…”

Section: Morphology Processingmentioning

confidence: 99%

Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique

Lian

Zhang

2018

Advances in Civil Engineering

View full text Add to dashboard Cite

Cavitation erosion on the wetted surface of hydraulic machinery is directly related to the cavitation behavior. In this paper, the cavitation behavior and cavitation erosion characteristics on the airfoil surface were observed experimentally, and then, image processing methods for quantifying cavitation structure and cavitation erosion were established. Laser-CCD system was used to obtain the cavitation structure on the airfoil surface and the microtopographies of the cavitation erosion at different magnifications were obtained by SEM. The distribution and shape of cavitation pits were analyzed. An image processing method based on statistical principle was used to analyze the distribution characteristics of the cavitation structure. The mean and mean square value of the cavitation structure were obtained. The average volume and the volume change rate of cavitation cloud in each position of the flow field during a cavitation period were described. According to the characteristics of cavitation pits, an image processing method based on background correction, edge detection, and binary morphology processing was established, and then, the distribution characteristics and the area of the cavitation pits were obtained. Finally, the effectiveness of the methods is verified by the image processing of cavitation pit in different locations on the hydrofoil.

show abstract

Section: Morphology Processingmentioning

confidence: 99%

Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique

Lian

Zhang

2018

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…Jiang et al performed color image segmentation using the Canny operator by combining it with a pulse-coupled neural network [ 14 ]. Based on the color vector angle and the Canny operator, Tang et al proposed a robust image hashing mechanism to achieve a desirable tradeoff of classification performances between rotation robustness and discrimination [ 15 ]. Sun and Han enhanced images by extracting the edge and texture information from the original images using the Laplacian operator [ 16 ].…”

Section: Related Workmentioning

confidence: 99%

Implementing a Parallel Image Edge Detection Algorithm Based on the Otsu-Canny Operator on the Hadoop Platform

Cao

Chen

Wang

et al. 2018

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

The Canny operator is widely used to detect edges in images. However, as the size of the image dataset increases, the edge detection performance of the Canny operator decreases and its runtime becomes excessive. To improve the runtime and edge detection performance of the Canny operator, in this paper, we propose a parallel design and implementation for an Otsu-optimized Canny operator using a MapReduce parallel programming model that runs on the Hadoop platform. The Otsu algorithm is used to optimize the Canny operator's dual threshold and improve the edge detection performance, while the MapReduce parallel programming model facilitates parallel processing for the Canny operator to solve the processing speed and communication cost problems that occur when the Canny edge detection algorithm is applied to big data. For the experiments, we constructed datasets of different scales from the Pascal VOC2012 image database. The proposed parallel Otsu-Canny edge detection algorithm performs better than other traditional edge detection algorithms. The parallel approach reduced the running time by approximately 67.2% on a Hadoop cluster architecture consisting of 5 nodes with a dataset of 60,000 images. Overall, our approach system speeds up the system by approximately 3.4 times when processing large-scale datasets, which demonstrates the obvious superiority of our method. The proposed algorithm in this study demonstrates both better edge detection performance and improved time performance.

show abstract

“…Tang et al (2016a, b) proposed an image hashing based on ring partition and invariant vector distance by incorporating invariant vector distance in place of NMF. This method is robust against perceptual digital image manipulation, but it cannot localize the forged region.…”

Section: Introductionmentioning

confidence: 99%

“…The major drawback of this method is sensitive towards brightness changes. An image hashing technique based on ring partition and color vector angle has been proposed by Tang et al (2016a, b). This method is robust to digital image manipulation, but around 20% of the corner information has not been utilized to design the image hash.…”

Section: Introductionmentioning

confidence: 99%

Robust image hashing using ring partition-PGNMF and local features

2016

View full text Add to dashboard Cite

BackgroundImage authentication is one of the challenging research areas in the multimedia technology due to the availability of image editing tools. Image hash may be used for image authentication which should be invariant to perceptually similar image and sensitive to content changes. The challenging issue in image hashing is to design a system which simultaneously provides rotation robustness, desirable discrimination, sensitivity and localization of forged area with minimum hash length.MethodsIn this paper, a perceptually robust image hashing technique based on global and local features has been proposed. The Global feature was extracted using ring partition and projected gradient nonnegative matrix factorization (PGNMF). The ring partitioning technique converts a square image into a secondary image that makes the system rotation invariant. The PGNMF which is usually faster than the other NMFs has been used to reduce the dimension of the secondary image to generate the shorter hash sequence. The local features extracted from the salient regions of the image help to localize the forged region in the maliciously manipulated images. The image hashing techniques that use only global features are limited in discrimination.ResultsThe experimental results reveal that the proposed image hashing method based on global and local features provides better discrimination capability. The proposed hashing method is tested on large image sets collected from the different standard database. It is observed from the experimental results that the proposed system is robust to content-preserving operations and is capable of localizing the counterfeit area.ConclusionsThe combination of global and local features is robust against the content-preserving operations, which has a desirable discriminative capability. The proposed system may be used in image authentication, forensic evidence, and image retrieval, etc.

show abstract

Robust image hashing based on color vector angle and Canny operator

Cited by 58 publications

References 15 publications

Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique

Study of Cavitation and Cavitation Erosion Quantitative Method Based on Image Processing Technique

Implementing a Parallel Image Edge Detection Algorithm Based on the Otsu-Canny Operator on the Hadoop Platform

Robust image hashing using ring partition-PGNMF and local features

Contact Info

Product

Resources

About