A subpixel edge detection algorithm based on the combination of border following and gray moment

Wu, Kan; Li, Weifeng; Ge, Yun; Chen, Ying; Shen, Yonghua; Hu, Junjie; Chu, Kaiyue; Liu, Baorui; Jing, Yan

doi:10.1109/nanomed.2016.7883484

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this research, the border following algorithm [27] was used as feature extraction. This algorithm was applied for obtaining the contour of detected cancer tissue.…”

Section: Feature Extractionmentioning

confidence: 99%

An Image Processing Framework for Breast Cancer Detection Using Multi-View Mammographic Images

Hikmah

Sardjono

Mertiana

et al. 2022

EMITTER Int'l J. of Engin. Technol.

View full text Add to dashboard Cite

Breast cancer is the leading cause of cancer death in women. The early phase of breast cancer is asymptomatic, without any signs or symptoms. The earlier breast cancer can be detected, the greater chance of cure. Early detection using screening mammography is a common step for detecting the presence of breast cancer. Many studies of computer-based using breast cancer detection have been done previously. However, the detection process for craniocaudal (CC) view and mediolateral oblique (MLO) view angles were done separately. This study aims to improve the detection performance for breast cancer diagnosis with CC and MLO view analysis. An image processing framework for multi-view screening was used to improve the diagnostic results rather than single-view. Image enhancement, segmentation, and feature extraction are all part of the framework provided in this study. The stages of image quality improvement are very important because the contrast of mammographic images is relatively low, so it often overlaps between cancer tissue and normal tissue. Texture-based segmentation utilizing the first-order local entropy approach was used to segment the images. The value of the radius and the region of probable cancer were calculated using the findings of feature extraction. The results of this study show the accuracy of breast cancer detection using CC and MLO views were 88.0% and 80.5% respectively. The proposed framework was useful in the diagnosis of breast cancer, that the detection results and features help clinicians in making treatment.

show abstract

“…In this research, the border following algorithm [27] was used as feature extraction. This algorithm was applied for obtaining the contour of detected cancer tissue.…”

Section: Feature Extractionmentioning

confidence: 99%

An Image Processing Framework for Breast Cancer Detection Using Multi-View Mammographic Images

Hikmah

Sardjono

Mertiana

et al. 2022

EMITTER Int'l J. of Engin. Technol.

View full text Add to dashboard Cite

show abstract

Triangle workpiece precision dimensional inspection

Yu,

Liu,

Wang

et al. 2024

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024)

View full text Add to dashboard Cite

Dimensional Measurement Method for PVC Plates Based on Improved Zernike Moment

Dai

2023

J CIRCUIT SYST COMP

View full text Add to dashboard Cite

There are many pixel-level and sub-pixel-level edge localization methods, but some methods perform poorly in the presence of noise and require image pre-processing or iterative methods to improve the localization accuracy, which increases the computational cost. In this paper, we propose an improved Zernike moment subpixel edge localization algorithm based on the ramp model, and combine the idea of bilinear interpolation method to optimize the selection of parameters in the edge model. Through the validation of several examples, it is found that the algorithm outperforms the compared methods for edge localization of noisy images. After the edge detection, in order to improve the measurement accuracy of polyvinyl chloride (PVC) plates, a parallel line fitting method is proposed to fit the edge points, thus avoiding the interference of extraneous noise points and achieving accurate measurement of PVC plate size. The experiments were carried out for several measurements of the sheet length, and the method was verified to have high measurement accuracy.

show abstract

A subpixel edge detection algorithm based on the combination of border following and gray moment

Cited by 3 publications

References 5 publications

An Image Processing Framework for Breast Cancer Detection Using Multi-View Mammographic Images

An Image Processing Framework for Breast Cancer Detection Using Multi-View Mammographic Images

Triangle workpiece precision dimensional inspection

Dimensional Measurement Method for PVC Plates Based on Improved Zernike Moment

Contact Info

Product

Resources

About