Improved correlation discrimination using an amplitude-modulated phase-only filter

Awwal, Abdul Ahad S.; Karim, Mohammad A.; Jahan, Syeda R.

doi:10.1364/ao.29.000233

Cited by 98 publications

(37 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…7 However, even if these techniques are interesting, they are generally too complicated to achieve with an all-optical system, especially for reconfigurable systems. [7][8][9][10][11][12][20][21][22][23][24][25] Hybrid methods (optical/digital) have been developed to alleviate problems associated with optical implementation, such as the need to use several spatial light modulators and the alignment problem of the optical elements. The potential of the optical correlation methods has been recognized because they possess a strong discriminating ability [7][8][9][10][11][12][20][21][22][23][24][25] and robustness with respect to noise.…”

Section: Optical Correlation Techniques For Detectionmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance

Elbouz¹

2011

Opt. Eng

View full text Add to dashboard Cite

Abstract. Home automation is being implemented into more and more domiciles of the elderly and disabled in order to maintain their independence and safety. For that purpose, we propose and validate a surveillance video system, which detects various posture-based events. One of the novel points of this system is to use adapted Vander-Lugt correlator (VLC) and joint-transfer correlator (JTC) techniques to make decisions on the identity of a patient and his three-dimensional (3-D) positions in order to overcome the problem of crowd environment. We propose a fuzzy logic technique to get decisions on the subject's behavior. Our system is focused on the goals of accuracy, convenience, and cost, which in addition does not require any devices attached to the subject. The system permits one to study and model subject responses to behavioral change intervention because several levels of alarm can be incorporated according different situations considered. Our algorithm performs a fast 3-D recovery of the subject's head position by locating eyes within the face image and involves a model-based prediction and optical correlation techniques to guide the tracking procedure. The object detection is based on (hue, saturation, value) color space. The system also involves an adapted fuzzy logic control algorithm to make a decision based on information given to the system. Furthermore, the principles described here are applicable to a very wide range of situations and robust enough to be implementable in ongoing experiments. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

show abstract

Section: Optical Correlation Techniques For Detectionmentioning

confidence: 99%

“…[23][24][25] In this paper, we only consider an approach based on the iterative reconstructed algorithm of the target image using its spectral phase information. It is well established that an image (scene) can be reconstructed using only the information of its phase spectrum.…”

Section: Vander-lugt Correlator With Optimizedmentioning

confidence: 99%

Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance

Elbouz¹

2011

Opt. Eng

View full text Add to dashboard Cite

show abstract

“…However, the inverse filter is inherently unstable, so in practice we use the amplitude-modulated phase-only filter [Awwal et al, 1990] given here in discrete implementation…”

Section: _{x(f)mentioning

confidence: 99%

<title>Objective evaluation of four SAR image segmentation algorithms</title>

Gregga

Gustafson²,

Power

2001

Algorithms for Synthetic Aperture Radar Imagery VIII

View full text Add to dashboard Cite

“…In particular, the former handicap has been widely investigated, developing methods for encoding amplitude and phase into phase-only filters [1][2][3][4][5][6][7][8][9]. Applications of phase-only filters include, but are not limited to, pattern recognition [10,11], correlation discrimination [12], optical encryption [13], shaping of femtosecond pulses [14], or research on nondiffracting speckle fields [15].…”

mentioning

confidence: 99%

Encoding complex fields by using a phase-only optical element

2014

View full text Add to dashboard Cite

We show that the amplitude and phase information from a two-dimensional complex field can be synthesized from a phase-only optical element with micrometric resolution. The principle of the method is based on the combination of two spatially sampled phase elements by using a low-pass filter at the Fourier plane of a 4 − f optical system. The proposed encoding technique was theoretically demonstrated, as well as experimentally validated with the help of a phase-only spatial light modulator for phase encoding, a conventional CMOS camera to measure the amplitude of the complex field, and a Shack-Hartmann wavefront sensor to determine its phase.

show abstract

Improved correlation discrimination using an amplitude-modulated phase-only filter

Cited by 98 publications

References 8 publications

Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance

Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance

<title>Objective evaluation of four SAR image segmentation algorithms</title>

Encoding complex fields by using a phase-only optical element

Contact Info

Product

Resources

About