Rotation invariant real-time optical edge detector

Mazzaferri, Javier; Ledesma, Salvador

doi:10.1016/j.optcom.2006.11.050

Cited by 14 publications

(7 citation statements)

References 37 publications

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“…We propose here a filter that is based on a spiral phase. A spiral phase filter with an azimuthal period of 2;r is a good edge enhancer as has been demonstrated in recent publications [9,10]. We show here that a spiral phase filter with azimuthal period n behaves as a comer enhancer The comer detection property of this filter can be more clearly understood by analyzing the symmetry of its impulse response.…”

Section: Corner Detectionsupporting

confidence: 73%

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Correlation based rotation-invariant corner detector

Mazzaferri¹,

Ledesma²,

Wetter³

et al. 2008

AIP Conference Proceedings

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Abstract. In this work we introduce a new approach for corner extraction. The method that allows the corner extraction with rotation invariance is composed by a spiral phase function and a binary amplitude. The designed function can be easily implemented as a filter for a Vander Lugt-like optical correlator A final image obtained with the detector presents intensity peaks in each corner location. Numerical simulation has been performed on a set of synthetic scenes, modulated either in amplitude or phase. Results that show the very good performance of the method are shown.

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Section: Corner Detectionsupporting

confidence: 73%

“…Two recent works have addressed rotation invariance in optical edge detection employing a spiral phase filter [9,10]. In the present work, we propose a new optical comer detection method based on a spiral phase filter…”

Section: Introductionmentioning

confidence: 99%

Correlation based rotation-invariant corner detector

Mazzaferri¹,

Ledesma²,

Wetter³

et al. 2008

AIP Conference Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…With the development of optical information processing technology, the edge enhancement technology has been widely used in many fields such as optical imaging [1][2][3], fingerprint detection [4,5], astronomical observation [6,7] and so on. Although several new types of edge enhancement algorithms [8][9][10][11] and technologies [12][13][14][15] emerge in academic and industry, the disadvantages of poor sensitivity, low efficiency and high price in the information collection of infrared band are still existed.…”

Section: Introductionmentioning

confidence: 99%

Implementing the edge enhancement with vortex filter in both linear and nonlinear optics

Xu,

Zhang

2023

Front. Phys.

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The edge enhancement technique, as an effective method to represent the boundary of objects, plays an important role in image processing. Among them, the vortex filtering, which is based on the radial Hilbert transformation, has been paid great attention due to its ability to achieve isotropic and anisotropic edge enhancement. Recent years have witnessed a growing interest in the nonlinear vortex filter to skillfully realize the visualization of the object edge under invisible light irradiation. In this paper, we start from reviewing the achievements have been made with the vortex filtering technique in linear optics, and then discussed the recent processes of the scalar and vector vortex filter in nonlinear optics. We hope that the nonlinear optical vortex filter can motivate some promising applications in biological edge imaging with visible light-sensitive specimens.

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“…Many important image processing tasks were demonstrated to take advantage of optical parallel processing including denoising, sharpening, edge detection and enhancement, registration, encryption, feature extraction, deconvolution, pattern recognition, etc [1][2][3][4][5][6][7][8][9][10]. Optical image edge detection or enhancement was usually realized by employing a coherent optical system to perform some simple algorithm such as high-pass filter or morphological operations, which results in poor performance and speckle noise.…”

Section: Introductionmentioning

confidence: 99%

An object boundary detection system based on a 3D stereo monitor

Zhang

Furia

2014

SPIE Proceedings

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In this paper we present an object boundary detection system using an off-the-shelf available 3D stereo monitor. Instead of implementing algorithms, the system's image processing is based on utilizing the polarization feature of liquid-crystal display and the way the image is displayed on the 3D monitor to enhance object boundary. The users can view the enhanced object contour through a polarization glasses in real-time, which can be also recorded using a camera for further processing. A software is developed for user interaction and providing feedback to obtain the best detection results. The effectiveness of the proposed system is demonstrated using some medical and biological images. The proposed system has the advantages of real-time high speed processing, almost no numerical computation, and robustness to noise over the traditional methods using image processing algorithms.

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Rotation invariant real-time optical edge detector

Cited by 14 publications

References 37 publications

Correlation based rotation-invariant corner detector

Correlation based rotation-invariant corner detector

Implementing the edge enhancement with vortex filter in both linear and nonlinear optics

An object boundary detection system based on a 3D stereo monitor

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