Locating Method of DPM 2D Barcode Image

This paper studies the positioning method of DPM 2D barcode image. Because of the reflective problems of metal surface, the barcode image gotten will have uneven illumination, high light issues. In this paper, the homomorphic filtering method is used to enhance the image. Then the gradient projection is used to positioning the barcode region preliminary. We use an adaptive threshold method composed of Otsu method and neighborhood threshold method to solve the error segmentation problem. Finally the convex hull algorithm is applied to locate barcode region. Experiment results show that this method can effectively locate the barcode region quickly.

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Improved Binarization Method of QR Code Mobile Terminal

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.518.374 ◽

2014 ◽

Vol 518 ◽

pp. 374-380

Author(s):

Shu Fang Yuan ◽

Zhen Zhang

Keyword(s):

Mobile Terminal ◽

Qr Code ◽

Threshold Method ◽

Mobile Terminals ◽

Histogram Method ◽

Filtering Algorithm ◽

Otsu Method ◽

Homomorphic Filtering ◽

Binarization Method ◽

Binarized Image

This optimized binarization algorithms for mobile terminals QR code. Bimodal histogram method, OTSU method and homomorphic filtering algorithm were combined to improve multi-threshold method. Experimental results showed that the method to different light image of the environment was able to get a better QR code binarized image, greatly enhancing the success rate of the QR code recognition.

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13‐4: Adaptive Threshold Method for Dither Noise Reduction in Response Time Acceleration for 8K LCD TV

SID Symposium Digest of Technical Papers ◽

10.1002/sdtp.14636 ◽

2021 ◽

Vol 52 (1) ◽

pp. 161-164

Author(s):

Ho-Joon Chung ◽

Hong-Ki Kwon ◽

Jin-Yong Park ◽

Tae-Woo Kim ◽

Hyeon-Su Park ◽

...

Keyword(s):

Response Time ◽

Noise Reduction ◽

Adaptive Threshold ◽

Threshold Method

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Design and analysis of feature extraction algorithm for ECG signals using adaptive threshold method

2017 Trends in Industrial Measurement and Automation (TIMA) ◽

10.1109/tima.2017.8064801 ◽

2017 ◽

Cited By ~ 2

Author(s):

Sabitha Ramakrishnan ◽

Rithicka Yogeswaran

Keyword(s):

Feature Extraction ◽

Adaptive Threshold ◽

Threshold Method ◽

Ecg Signals ◽

Feature Extraction Algorithm ◽

Extraction Algorithm

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Cement Pavement Surface Crack Detection Based on Image Processing

Mechanical Engineering Science ◽

10.33142/me.v1i1.661 ◽

2019 ◽

Vol 1 (1) ◽

Author(s):

Hongwei Lei ◽

Jianlian Cheng ◽

Qi Xu

Keyword(s):

Image Processing ◽

Laplace Operator ◽

Image Recognition ◽

Surface Crack ◽

Iteration Method ◽

Crack Detection ◽

Binary Image ◽

Threshold Method ◽

Otsu Method ◽

Pavement Crack Detection

This article introduces the application of image recognition technology in cement pavement crack detection and put forward to method for determining threshold about grayscale stretching. the algorithm is designed about binarization which has a self-adaptive characteristic. After the image is preprocessed, we apply 2D Wavelet and Laplace operator to process the image. According to the characteristic of pixel of gray image, an algorithm designed on binarization for Binary image. The feasibility of this method can be verified the image processed by comparing with the results of three algorithms: Otsu method, iteration method and fixed threshold method.

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