Binary Digital Image Processing: A Discrete Approach

Marchand-Maillet, Stéphane; Sharaiha, Yazid M.

doi:10.1117/1.1326456

Cited by 27 publications

(13 citation statements)

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“…13c). A set of mathematical morphology [15,16] operations is then applied to the resultant rectangular image aiming to: (i) reduce the noise due to the binarization process by removing areas representing less than 10 pixels (Fig. 13d); (ii) join pixels within a neighbourhood of three pixels (Fig.…”

Section: Image Processingmentioning

confidence: 99%

Automatic crack monitoring using photogrammetry and image processing

et al. 2013

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Section: Image Processingmentioning

confidence: 99%

Automatic crack monitoring using photogrammetry and image processing

et al. 2013

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“…The plotting of graph between width and corresponding row we will shows a continuous curve. This continuous curve in the graph has the following assumption [16] in table 2. Similarly other type of graph and their corresponding tools can be explored.…”

Section: Resultsmentioning

confidence: 96%

Bone mark analysis using image processing

Senapati¹,

Mal²

2012

Fourth International Conference on Advances in Recent Technologies in Communication and Computing (ARTCom2012)

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Bone mark analysis is one of the important research fields of forensic science that identifies tool (Weapon/Object), based on their features. These features are mainly available as digital images. In this paper we proposed an efficient and automatic approach of finding the bone marked area using image processing. Our approach also extracts the characteristics of the tool based on the boundary points of the marked area. Our automated approach has given better performance compare to finding other boundary point algorithm.

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“…Morphological operators, like erosion and dilation [25], could be adapted to enhanceP t . However, those operators will add or remove pixels without considering neither gray intensities nor transition values.…”

Section: Restoration Of Transition Setmentioning

confidence: 99%