Multiscale Edge Detection using a Finite Element Framework for Hexagonal Pixel-based Images

Gardiner, Bryan; Coleman, Sonya; Scotney, Bryan

doi:10.1109/tip.2016.2529720

Cited by 18 publications

(12 citation statements)

References 30 publications

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“…Due to a higher sampling efficiency, consistent connectivity and higher angular resolution of hexagonal grids [ 3 ] in comparison to square grids, in the last four decades hexagonal grids have been investigated in numerous methods and applications [ 3 , 5 , 6 , 7 ], which include image reconstruction [ 5 ], edge detection [ 7 , 8 ], image segmentation [ 9 ], and motion estimation [ 10 ]. Different algorithms and mathematical models have emerged in recent years to acquire hexagonal grids.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the spiral architecture, a design procedure for the development of hexagonal tri-directional derivative operators is present in [ 15 ], that can be applied directly to hexagonal images and can be used to improve both the efficiency and accuracy with respect to feature extraction on conventional intensity images. Although the architecture preserves the main properties of object, it loses some degree of resolution, which has an impact, especially on the result of edge detection applications [ 8 ]. Later this architecture was improved by Wu et al [ 16 ], by mapping the rectangular grids to hexagonal ones, processing images on hexagonal grids, and remapping the results to the square grids.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Curviness on Four Different Image Sensor Forms and Structures

Wei

Khatibi

2018

Sensors

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The arrangement and form of the image sensor have a fundamental effect on any further image processing operation and image visualization. In this paper, we present a software-based method to change the arrangement and form of pixel sensors that generate hexagonal pixel forms on a hexagonal grid. We evaluate four different image sensor forms and structures, including the proposed method. A set of 23 pairs of images; randomly chosen, from a database of 280 pairs of images are used in the evaluation. Each pair of images have the same semantic meaning and general appearance, the major difference between them being the sharp transitions in their contours. The curviness variation is estimated by effect of the first and second order gradient operations, Hessian matrix and critical points detection on the generated images; having different grid structures, different pixel forms and virtual increased of fill factor as three major properties of sensor characteristics. The results show that the grid structure and pixel form are the first and second most important properties. Several dissimilarity parameters are presented for curviness quantification in which using extremum point showed to achieve distinctive results. The results also show that the hexagonal image is the best image type for distinguishing the contours in the images.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Impact of Curviness on Four Different Image Sensor Forms and Structures

Wei

Khatibi

2018

Sensors

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“…A novel technique for implementing hexagonal image processing operators, utilizing text functions and linear basis was introduced by Gardiner B et al [3]. The edge maps are constructed at various scales by reuse of seven point linear operators and detailed analysis results were presented.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Block Based Edge Detection Technique Using Hysteresis Thresholding

Jayasree¹,

Narayanan²,

Kabeer³

et al. 2018

SIPIJ

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Edge detection is a crucial step in various image processing systems like computer vision , pattern recognition and feature extraction. The Canny edge detection algorithm even though exhibits high accuracy, is computationally more complex compared to other edge detection techniques. A block based distributed edge detection technique is presented in this paper, which adaptively finds the thresholds for edge detection depending on block type and the distribution of gradients in each block. A novel method of computation of high threshold has been proposed in this paper. Block-based hysteresis thresholds are computed using a non uniform gradient magnitude histogram. The algorithm exhibits remarkably high edge detection accuracy, scalability and significantly reduced computational time. Pratt's Figure of Merit quantifies the accuracy of the edge detector, which showed better values than that of original Canny and distributed Canny edge detector for benchmark dataset. The method detected all visually prominent edges for diverse block size.

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“…At present, the edge feature extraction technology of multifunctional digital ship image has been widely used in the field such as target tracking, fingerprint recognition, laser remote sensing image segmentation and many others. The edge and contour information extraction of multifunctional digital ship image, has become one of the hot research topics [10][11][12]. In reference [13], a method of extracting edge and contour information of multifunctional digital ship image based on self-enhancement is proposed.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on the Method of Extracting Edge and Contour Information of Multifunctional Digital Ship Image

Yin

2017

Polish Maritime Research

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The result of the extraction of the edge and contour information of the multifunctional digital ship image directly affects the evaluation and recognition of the subsequent image quality. At present, the common method used to extract the edge contour information is based on the Canny operator, and there is a problem that the edge is not clear.In order to obtain more accurate edge information, a method of extracting edge and contour information of multimedia digital image based on multi-scale morphology is proposed. Firstly, the digital ship image is made double filter and the fuzzy threshold segmentation, and then the edge and contour information is extracted by multi-scale morphology. Experimentsshow that the proposed method can obtain more accurate edge information compared with the other methods.

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Multiscale Edge Detection using a Finite Element Framework for Hexagonal Pixel-based Images

Cited by 18 publications

References 30 publications

The Impact of Curviness on Four Different Image Sensor Forms and Structures

The Impact of Curviness on Four Different Image Sensor Forms and Structures

An Enhanced Block Based Edge Detection Technique Using Hysteresis Thresholding

A Comparative Study on the Method of Extracting Edge and Contour Information of Multifunctional Digital Ship Image

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