SPiraL Aggregation Map (SPLAM): A new descriptor for robust template matching with fast algorithm

Shih, Huang-Chia; Yu, Kuan-Chun

doi:10.1016/j.patcog.2014.11.004

Cited by 18 publications

(4 citation statements)

References 33 publications

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“…The correlation function is, in fact, the coherence function normalized within the range of [-1, 1]. When the time lag τ is 0, the coherence function represents the conventional cross−coherence coefficient [43]. Since the values of the correlation function are dependent on the magnitude of the time series signals, it is difficult to compare the degree of correlation between different sets of signals.…”

Section: Template Matching Algorithm For Distorted Harmonicmentioning

confidence: 99%

Near-Infrared Laser Methane Remote Monitoring Based on Template Matching Algorithm of Harmonic Signals

Li,

Wang,

Wang

et al. 2023

Photonics

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Trustworthy technology for the monitoring of fugitive methane emissions is an indispensable component for low−carbon emission reduction and safe production in oil and gas infrastructure. A miniaturization and low-cost methane remote monitoring prototype based on near-infrared laser absorption spectroscopy is developed to retrieve the path−integral concentration by employing the harmonic conjoint analysis method for the backscattered echo signals from a distant non-cooperative target. A distorted harmonic template matching (DHTM) algorithm is proposed based on wavelength modulation spectroscopy with second harmonic normalized via the first harmonic (WMS−2f/1f) method, which suppresses the output concentration fluctuation caused by open path monitoring with non-cooperative target and avoids the issue of false alarms during the detection process without target gas. The reliability of the WMS−2f/1f−DHTM algorithm is verified by calibration and dynamic experiments. The results showed that this algorithm avoids the dilemma of false alarms in the absence of gas compared to the conventional WMS−2f/1f algorithm, while the root mean square error (RMSE) of the concentration inversion with a detection distance of 20 m is reduced by 57.6% compared to direct absorption spectroscopy (DAS) algorithm. And the minimum detection limit of system is 3.79 ppm·m. The methane telemetry sensor with the WMS−2f/1f−DHTM algorithm exhibits substantial application potential in carbon monitoring of oil and gas industry.

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Section: Template Matching Algorithm For Distorted Harmonicmentioning

confidence: 99%

Near-Infrared Laser Methane Remote Monitoring Based on Template Matching Algorithm of Harmonic Signals

Li,

Wang,

Wang

et al. 2023

Photonics

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“…Qi et al [23] proposed a multiscale co-occurrence of the LBP feature for global rotation invariance. Meanwhile, Shih and Yu [24] introduced a spiral projection model that provides the structural and statistical information of an image, which is a scaling invariant feature. Moreover, Ramesh et al [1] conducted a log-polar transform to achieve position or rotation invariant feature extraction.…”

Section: Related Workmentioning

confidence: 99%

Bionic RSTN invariant feature extraction method for image recognition and its application

Zhou

Yang

et al. 2017

IET Image Processing

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“…Furthermore, some researchers examined the relationship of puzzle pieces with specific shapes. The robust template-matching algorithm [ 5 ] is suitable for solving the aforementioned problem.…”

Section: Introductionmentioning

confidence: 99%

Vision-Based Jigsaw Puzzle Solving with a Robotic Arm

Shih

2023

Sensors

Self Cite

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This study proposed two algorithms for reconstructing jigsaw puzzles by using a color compatibility feature. Two realistic application cases were examined: one involved using the original image, while the other did not. We also calculated the transformation matrix to obtain the real positions of each puzzle piece and transmitted the positional information to the robotic arm, which then put each puzzle piece in its correct position. The algorithms were tested on 35-piece and 70-piece puzzles, achieving an average success rate of 87.1%. Compared with the human visual system, the proposed methods demonstrated enhanced accuracy when handling more complex textural images.

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SPiraL Aggregation Map (SPLAM): A new descriptor for robust template matching with fast algorithm

Cited by 18 publications

References 33 publications

Near-Infrared Laser Methane Remote Monitoring Based on Template Matching Algorithm of Harmonic Signals

Near-Infrared Laser Methane Remote Monitoring Based on Template Matching Algorithm of Harmonic Signals

Bionic RSTN invariant feature extraction method for image recognition and its application

Vision-Based Jigsaw Puzzle Solving with a Robotic Arm

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