A Novel Subpixel Edge Detection Based on the Zernike Moment

Zhang, Baojian; Bai, Linfeng; Zeng, Xiaoyang

doi:10.3923/itj.2010.41.47

Cited by 15 publications

(2 citation statements)

References 6 publications

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“…It will further improve measurement accuracy. The subpixel edge detection algorithm of spatial moment [16] is used in this paper with good accuracy and stability. So the point-pairs which are the edge points in (6) are converted to sub-pixel level.…”

Section: Size Measurementmentioning

confidence: 99%

Precision size measurement instrument for irregular objects

Liu

Tao

2015

2015 International Conference on Advanced Mechatronic Systems (ICAMechS)

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Precision size measurements are widely used in industrial production such as candies and cookies in the food industry. However, it is a challenge to measure irregular objects in a universal device because of poor adaptability and low precision. In this paper, a high-precision measurement device for irregular objects based on machine vision is designed. It consists of a rotational adjustment platform, two imaging units, a weighing device and a host computer. Armed with this device, a novel algorithm with good robustness is proposed to rapidly measure irregular objects. The sub-pixel location algorithm based on spatial moment is used for the accuracy size measurement. Experiments show that the measurement accuracy is less than 25 m.

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Section: Size Measurementmentioning

confidence: 99%

Precision size measurement instrument for irregular objects

Liu

Tao

2015

2015 International Conference on Advanced Mechatronic Systems (ICAMechS)

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“…Zernike Moments (ZMs) are the complex polynomials that are very widely used in many image processing applications like digital image watermarking (Kim et al, 2003; face recognition (Wiliem et al, 2007) and edge detection (Zhang et al, 2010;Amandeep et al, 2011), etc. In digital image watermarking, watermark bits can be inserted locally or globally either in spatial or frequency domain (Ibrahim et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Fast and High Capacity Digital Image Watermarking Technique Based on Phase of Zernike Moments

Walia

Suneja

2012

International Journal of Computer Vision and Image Processing

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Zernike Moments (ZMs) are used in many image processing applications, due to their resistance against various signal processing and geometric attacks. Digital image watermarking is one of those application areas, where ZMs are widely used to insert and extract the watermark bits for digital media authentication. In all the existing ZM based watermarking techniques, magnitude of moments is used to insert and extract the watermark. In this paper, the authors’ have proposed a semi blind watermarking technique in which phase of ZMs is used for watermark insertion and extraction. Due to the use of phase of ZMs, 100% detection ratio is achieved against any geometric and other signal processing attacks. To make the proposed technique fast, q-recursive method is used to compute the Zernike polynomials. The use of q-recursive method has also increased the transparency of watermark due to its better reconstruction ability as compared to traditional moment computation method. Through detailed experimentation, it has been confirmed that the proposed watermarking technique is fast, has more imperceptibility, less Bit Error Rate (BER) and more capacity as compared to traditional ZMs magnitude based watermarking technique.

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Natural Image-Orientated Hybrid Filter Using Pulse Coupled Neural Network

Pan

2016

Electronics, Communications and Networks V

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Noise introduced during capture and transmission is inevitable for natural images generated by Complementary Metal-Oxide-Semiconductor (CMOS) sensors, including quantization error during digitalization, transmission disturbance and other sources of noise. To process natural images from a CMOS sensor, a hybrid filter combining Pulse Coupled Neural Network (PCNN), median filter and Wiener filter is proposed in this paper. First, salt-and-pepper noise is located via PCNN, and processed by a median filter. Then, Gaussian noise is removed by a self-adaptive Wiener filter. Simulation results indicated that compared to other methods (hybrid filter containing median and Wiener filter, hybrid filter containing median and wavelet filter), the hybrid filter with PCNN demonstrates better performance in the preservation of image detail and edge in the premise of similar Signal-Noise Ratios (SNRs).

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A Novel Subpixel Edge Detection Based on the Zernike Moment

Cited by 15 publications

References 6 publications

Precision size measurement instrument for irregular objects

Precision size measurement instrument for irregular objects

Fast and High Capacity Digital Image Watermarking Technique Based on Phase of Zernike Moments

Natural Image-Orientated Hybrid Filter Using Pulse Coupled Neural Network

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