Hybrid optoelectronic joint transform correlator for the recognition of targets in cluttered scenes

In optical correlation target auto-detection and recognition, distortion invariant (rotation invariant and scale invariant) image recognition is the hard technology. The main character of minimum average correlation energy (MACE) filters in image recognition is high peak acuity, but it is sensitive to distortion, so its application is limited. Combine data fusion technology with the algorithm of MACE, a new algorithm which is called data fusion distortion invariant joint transform correlate is presented. The problem of distortion invariant image recognition is resolved very well by this algorithm. Computer simulation and experimental results show that the problems of target recognition with rotation variation and scale variation can be resolved by using the data fusion distortion invariant algorithm in hybrid optoelectronic real-time joint transform correlator. The contrast of correlation peak is enhanced greatly, and the power of target oresult of the ground target-automobile is presented. It proves that the data fusion distortion invariant algorithm is feasible.

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“…JTC is one of the most successful optical pattern recognizers [4]. After twice Fourier transform of an input image, two correlation peaks emerge.…”

Section: The Principle Of Jtcmentioning

confidence: 99%

Research on data fusion distortion invariant target recognition technology in joint transform correlator

Jia

Chen

et al. 2009

2009 International Conference on Mechatronics and Automation

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“…These correlators can be divided according type of object recognition. They can recognize faces or other objects, they can use Hilbert or Fourier Transform, they can be divided to two-dimensional or three-dimensional correlators or they can be used to Medical Analysis, Biometric Recognition, Motion Tracker, Traffic Sign Recognition, High Volume Data Searching and many other applications [4,5,7,8,9]. Using of Optical Correlator is very helpful in applications, where fast process time is necessary [6,7,8].…”

Section: Practical Applications Of Optical Correlatorsmentioning

confidence: 99%

Current Summary of the Practical Using of Optical Correlators

Harasthy

Ovseník

Turán

2012

Acta Electrotechnica Et Informatica

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Optical Computing has long been a reportable as the solution of real-time high resolution data processing. Optical processing uses the fastest medium (light) to same calculations as serial electronic systems so process time of these calculations is shorter. The best results in data processing can be obtained by using hybrid, digital-optical, processors as a Optical Correlators which use speed of light (optical part) in cooperation with the electronic components, (digital part). Optical Correlator is optical device to compare two images or two-dimensional data in real time. There are two main types of Optical Correlators, Match Filter and Joint Transform Correlator. In this paper are described both types of correlators and there are shown examples of realized Optical Correlators. Optical Correlators use Optical Fourier Transform to produce transformed image from input image and then second Fourier Transform to obtained correlations in correlation plane. Optical Fourier Transform vs. Fast Fourier Transform process time comparison will be discussed. Main components of Optical Correlators will be presented. Optical Correlators thanks its fast process time and recent advances in liquid crystal technology become more commercially available. Potential applications of these optical processors will be also presented and discussed.

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“…In the hybrid optoelectronic joint transform correlator(HOJTC) 1 , recoded image have various noise and distortion, the sensitivity of CCD camera is uneven, some quantification noise are brought in the digital processing, there is channel error in the transmission etc, all of this lead that the contrast of the joint transform power spectrum (JTPS) is obviously weakened, some fringes are displayed very blurred, thus the output correlation peaks are weakened too. Now, we applied high-boost filtering to sharpen the JTPS and improve the contrast of JTPS, so obtained the output correlation peaks can be obviously lighted, at the same time increase the recognition ratio of the joint transform correlator.…”

Section: Introductionmentioning

confidence: 98%

Enhancement technology of the joint transform power spectrum

Chen

Chu

et al. 2007

SPIE Proceedings

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The joint transform correlator was an effective system for the target detection and recognition, major character was that the reference template and the target were simultaneous processed; Fourier transform was operated by Fourier transform lens with the speed of light; the joint transform power spectrum was obtained through the first Fourier transform, then got the correlation peaks through the second Fourier transform.The power spectrum of the joint transform correlator was recorded by the Charge Coupled Device (CCD) matrix camera. The contrast of the power spectrum was relatively lower, so some important information, such as the Young's interference fringes, were displayed very fuzzy, even couldn't see in some images ,the output correlation peaks were seriously affected .For enhancing the power spectrum's contrast, the power spectrum may be filtered with the high-boost filtering. By filtering, the contrast of the Young's interference fringes was greatly improved and displayed relatively clear, so the contrast of the correlation peaks were greatly enhanced, the recognition ratio of the target detection and recognition by the joint transform correlator was increased. As the experiment examples, the target recognition of a car and a warship in cluttered scenes were presented. The experiments showed that the contrast of the Young's interference fringes was improved after the joint transform power spectrum was processed by the high-boost filtering .At the same time, the output correlation peaks were obviously enhanced too. So the high-boost filtering was very effective method for filtering in the joint transform power spectrum.

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Hybrid optoelectronic joint transform correlator for the recognition of targets in cluttered scenes

Cited by 13 publications

References 7 publications

Research on data fusion distortion invariant target recognition technology in joint transform correlator

Research on data fusion distortion invariant target recognition technology in joint transform correlator

Current Summary of the Practical Using of Optical Correlators

Enhancement technology of the joint transform power spectrum

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