Lung Tumor Segmentation and 3D Reconstruction Based on Region Growing and Correlation

Lei, Yiran; Zheng, Li; Lyu, Ziang

doi:10.1088/1742-6596/1168/6/062018

Cited by 2 publications

(2 citation statements)

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“…The region growing algorithm operates through grouping the pixels into the different regions, which is based on the predefined grow criterion [12][13][14]. The seed point is set initially at the place of the interesting object by ourselves.…”

Section: Region Growingmentioning

confidence: 99%

“…The edge detection is a commonly used method for image segmentation, which operates through finding the sudden changes between the pixel intensity. Among the different edge detection methods [10][11][12][13][14][15][16], canny edge detection has advantages in the aspects of low error rate, well positioning and single edge response, which can be used to find the edge of the ware area in this research. The process of canny detection method is shown in Figure 2.…”

Section: Canny Edge Detectionmentioning

confidence: 99%

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A performance analysis for real-time flood monitoring using image-based processing

Zhang

Jindapetch

Duangsoithong

et al. 2020

IJEECS

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Nowadays, various image-based methods have been used in the area of monitoring. Whereas the precision of detection objects and real-time processing are the key issues for many applications. Considering the limitation of the working environment, the higher correctness and faster operating time can guarantee the work efficiency. In this paper, the imagebased methods have been studied to monitoring the state of the flood in the real-time system. The performance of each image processing technique has been evaluated based on accuracy and processing time. In the flood monitoring system, the variation of important parameters can cause the change of performance and the effect of the variable parameters has been demonstrated from the experiment results. After comparing to the other image-based techniques, canny edge detection presents the best one, which also has better repeatability with the source image from different locations. Consequently, the improved canny edge detection method has been proved that can work very well on the real hardware in the outdoor environment.

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Section: Region Growingmentioning

confidence: 99%

Section: Canny Edge Detectionmentioning

confidence: 99%