Modified differential box-counting method using weighted triangle-box partition

Nunsong, Walairach; Woraratpanya, Kuntpong

doi:10.1109/iciteed.2015.7408945

Cited by 12 publications

(15 citation statements)

References 6 publications

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“…Sometimes (I max − I min + 1) ≈ G, which is almost same to the box height used in [13,14,[18][19][20][21][22].…”

Section: Box Heightmentioning

confidence: 93%

“…In [13,14,[18][19][20][21][22], authors used a box height, h = s×G M , for their work. When M ≤ G then this box height becomes very large hence fails in providing accurate FD.…”

Section: Box Heightmentioning

confidence: 99%

“…In [19], Kaewaramsri et al partitioned the square grid into two triangular grids to obtain better precision of box count. Interested readers can find various modifications of DBC in [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images

Panigrahy

García‐Pedrero

Seal

et al. 2017

Entropy

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Abstract:The Fractal Dimension (FD) of an image defines the roughness using a real number which is highly associated with the human perception of surface roughness. It has been applied successfully for many computer vision applications such as texture analysis, segmentation and classification. Several techniques can be found in literature to estimate FD. One such technique is Differential Box Counting (DBC). Its performance is influenced by many parameters. In particular, the box height is directly related to the gray-level variations over image grid, which badly affects the performance of DBC. In this work, a new method for estimating box height is proposed without changing the other parameters of DBC. The proposed box height has been determined empirically and depends only on the image size. All the experiments have been performed on simulated Fractal Brownian Motion (FBM) Database and Brodatz Database. It has been proved experimentally that the proposed box height allow to improve the performance of DBC, Shifting DBC, Improved DBC and Improved Triangle DBC, which are closer to actual FD values of the simulated FBM images.

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“…Sometimes (I max − I min + 1) ≈ G, which is almost same to the box height used in [13,14,[18][19][20][21][22].…”

Section: Box Heightmentioning

confidence: 93%

“…In [13,14,[18][19][20][21][22], authors used a box height, h = s×G M , for their work. When M ≤ G then this box height becomes very large hence fails in providing accurate FD.…”

Section: Box Heightmentioning

confidence: 99%

See 1 more Smart Citation

An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images

Panigrahy

García‐Pedrero

Seal

et al. 2017

Entropy

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“…We can recognize streaks (which are the lines in contact with a surface) what's more, valleys (these are the spaces between two streaks). (Figure 3) demonstrated the presence of sixteen unique types of minutiae, however when all is said in done the algorithms are just worried about the bifurcations and terminations which make it conceivable to acquire alternate types by combination [6]. Fig.…”

Section: Fingerprint Recognitionmentioning

confidence: 99%

“…3. Different types of minutiae [6] A programmed fingerprint recognition framework is a chain of capacities that, from the image of a candidate's finger, must choose whether the candidate is permitted access or not. The fingerprint recognition algorithm under inquiry comprises of three basic parts: preprocessing of the fingerprint image to enhance its quality, the extraction of the valuable data what's more, a filtering of the outcomes previously the comparison.…”

Section: Fingerprint Recognitionmentioning

confidence: 99%

Image Fusion of Fingerprints using Fractal Representation and Dual Tree Complex Wavelet Transform

Sahu¹

2018

IJRASET

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The popular Biometric used to validate a person's fingerprint is remarkable and permanent all through the individual life. Fingerprint Recognition or fingerprint confirmation alludes to the mechanized strategies for checking a match between two human fingerprints. Fingerprints are broadly utilized as a part of everyday life for over 100 years because of its attainability, uniqueness, perpetual quality, precision, unwavering quality, and acceptability. There are numerous ways to detect the fingerprint. One of the way is by image fusion. Image fusion has standout amongst the most critical systems in digital image processing, which incorporates the improvement of software to make the coordination of numerous arrangements of information for a similar area. In this paper fractal analysis and dual tree complex wavelet transform has been utilized for development of fingerprints digital image's quality, particularly fine subtle elements and edges, utilizing edge location and afterward decide the difference by utilizing ten distinct threshold. Keywords: Image fusion, fractal dimension based image fusion, complex dual tree wavelet transform.

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Finger knuckle pattern person authentication system based on monogenic and LPQ features

Lakshmanan

Velliyan

Attia

et al. 2022

Pattern Anal Applic

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Modified differential box-counting method using weighted triangle-box partition

Cited by 12 publications

References 6 publications

An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images

An Approximated Box Height for Differential-Box-Counting Method to Estimate Fractal Dimensions of Gray-Scale Images

Image Fusion of Fingerprints using Fractal Representation and Dual Tree Complex Wavelet Transform

Finger knuckle pattern person authentication system based on monogenic and LPQ features

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