An improved Otsu threshold segmentation algorithm

Yang, Pei; Song, Wei; Zhao, Xinchao; Zheng, Rui; Qingge, Letu

doi:10.1504/ijcse.2020.107266

Cited by 46 publications

(25 citation statements)

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“…In the process of image acquisition, there will inevitably be various interference, so it is necessary to process the image, including denoising [7], image segmentation [8][9][10][11] and morphological processing [12]. In the designed system, there are three main types of tobacco images to be processed, including a single cigarette, a small amount of crossed tobacco and a large number of stacked tobacco.…”

Section: Image Processing Algorithmsmentioning

confidence: 99%

Design and implementation of an online length detection device for reconstituted cut tobacco based on machine vision

Tong,

Xu,

Yan

et al. 2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

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In order to address the drawbacks of using offline and manual methods to measure the length of reconstituted cut tobacco using thick pulp method, an online automatic detection device is designed in the paper. A cut tobacco sampling and spreading out process is designed. Cut tobacco sampling is completed by using a robotic arm. Cut tobacco feeding is completed by simulating the manual shaking movement. A two-stage conveyor belt keeps spreading out tobacco leaves. A tobacco leaves image acquisition device have been designed to collect diluted cut tobacco. A software system has been developed, specifically for the case of a small amount of cross cut tobacco. A stitching algorithm based on sub pixel skeleton contour slope has been proposed to separate a single cut tobacco and facilitate tobacco length detection. The test results indicate that the system has the advantages of automation, online detection, and high measurement accuracy, which can meet the requirements of the production process of reconstituted tobacco leaves.

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Section: Image Processing Algorithmsmentioning

confidence: 99%

Design and implementation of an online length detection device for reconstituted cut tobacco based on machine vision

Tong,

Xu,

Yan

et al. 2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

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“…According to the preceding definitions, the interclass variance of 𝐶 0 , 𝐶 1 can be defined as σ B (T), where T represents a threshold value for segmentation, and σ B (T) is then defined in Eq. ( 5) [21]:…”

Section: Otsu Thresholdingmentioning

confidence: 99%

“…The optimal value of threshold T* can be showed as solving an optimisation problem as shown in Eq. ( 6) [21]:…”

Section: Otsu Thresholdingmentioning

confidence: 99%

Hybrid Techniques with Support Vector Machine for Improving Artifact Ultrasound Images

Al-Jaburi

Al-Sudani²

2023

Iraqi Journal of Science

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The most common artifacts in ultrasound (US) imaging are reverberation and comet-tail. These are multiple reflection echoing the interface that causing them, and result in ghost echoes in the ultrasound image. A method to reduce these unwanted artifacts using a Otsu thresholding to find region of interest (reflection echoes) and output applied to median filter to remove noise. The developed method significantly reduced the magnitude of the reverberation and comet-tail artifacts. Support Vector Machine (SVM) algorithm is most suitable for hyperplane differentiate. For that, we use image enhancement, extraction of feature, region of interest, Otsu thresholding, and finally classification image datasets to normal or abnormal image. Because of the machine’s training for both types of images, the machine can now predict whether a new image is an abnormal image or a normal image. As a result, it reduced medical work for many checkups and other things. Our proposed method shows the correct classification result by more than 89%.

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“…erefore, the original threshold selection method is not good. For example, Yang et al [20] used the relationship between the pixel gray value and the change of the cumulative number of pixels in the traditional Otsu algorithm to select the ratio of the pixel gray value to a certain cumulative number of pixels as the adjustment threshold. In this study, double threshold detection and improved Otsu are combined to achieve this step.…”

Section: Improvement Of Reshold Calculationmentioning

confidence: 99%

Edge Detection of Agricultural Products Based on Morphologically Improved Canny Algorithm

Wang

et al. 2021

Mathematical Problems in Engineering

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The traditional canny edge detection algorithm has its limitations in the aspect of antinoise interference, and it is susceptible to factors such as light. To solve these defects, the Canny algorithm based on morphological improvement was proposed and applied to the detection of agricultural products. First, the algorithm uses the open and close operation of morphology to form a morphological filter instead of the Gaussian filter, which can remove the image noise and strengthen the protection of image edge. Second, the traditional Canny operator is improved to increase the horizontal and vertical templates to 45° and 135° to improve the edge positioning of the image. Finally, the adaptive threshold segmentation method is used for rough segmentation, and on this basis, double detection thresholds are used for further segmentation to obtain the final edge points. The experimental results show that compared with the traditional algorithm applied to the edge detection of agricultural products, this algorithm can effectively avoid the false contour caused by illumination and other factors and effectively improve the antinoise interference while more accurate and fine detection of the edge of real agricultural products.

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An improved Otsu threshold segmentation algorithm

Cited by 46 publications

References 0 publications

Design and implementation of an online length detection device for reconstituted cut tobacco based on machine vision

Design and implementation of an online length detection device for reconstituted cut tobacco based on machine vision

Hybrid Techniques with Support Vector Machine for Improving Artifact Ultrasound Images

Edge Detection of Agricultural Products Based on Morphologically Improved Canny Algorithm

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