An improved connected component labeling by recursive label propagation

Ravì, Daniele; Ramakrishnan, K. R.; Kumar, Yogesh; Anoop, K P

doi:10.1109/ncc.2011.5734746

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…LPA and SLPA algorithms are community detecting algorithms that are based on the label propagation (Li et al, 2015). The basic principle of LPA is that according to the connection relationship between nodes in the graph model, the labels of each node are diffused to the whole graph to obtain stable results, and the nodes with the same label are divided into the same community (Ravi Kiran, 2011). Compared with LPA, SLPA is different in that it introduces the strategies of the listener and speaker.…”

Section: Community Detectionmentioning

confidence: 99%

A secure edge power system based on a Docker container

Jiang²,

Wen³

et al. 2022

Front. Energy Res.

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Thanks to the advantages of low latency, high efficiency, and oneself-security, the edge computing (EC) paradigm is expected to widely be applied in a large number of scenarios. However, because EC equipment is closer to a wide variety of terminals in a realistic environment, it is also more vulnerable to terminal attacks. The security of edge computing equipment itself cannot be ignored. Docker is a lightweight container technology that closely fits the existing needs of edge computing for portability, security isolation, and convenience. In this paper, Docker technology is taken as an edge computing security support engine and a security monitoring system based on the Docker container is built. In addition, combined with container monitoring and objective weighting method, a node security judgment method is proposed. Finally, according to the results of the node security judgment, a method for evaluating the security of the unmonitored node is put forward. Consequently, an edge computing security monitoring system based on the Docker container is built, and its performance in the real environment of a smart grid system is implemented to verify the proposed method. The results prove the efficiency and security protection of the novel edge power system.

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Section: Community Detectionmentioning

confidence: 99%

A secure edge power system based on a Docker container

Jiang²,

Wen³

et al. 2022

Front. Energy Res.

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“…Recursive connected component labeling [11,15] are those which are used to find the homogeneous region in binary images. In this method, as the size of the stack memory required which is propositional to the size of the region, gets exhausted quickly.…”

Section: Introductionmentioning

confidence: 99%

Counting Objects using Homogeneous Connected Components

K.Dharpure¹,

Potdar²,

Pandya³

2013

IJCA

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A very important feature extraction method that is commonly used in computer visions and image processing applications is counting of objects. This paper represents a modified sequential region labeling algorithm which counts the homogeneous region of different objects on image. It is based on 4-connected, 6-connected and 8-connected component technique. These algorithms scan the image pixel by pixel from left to right and top to bottom sequentially and assign a label to every foreground pixels in binary image. Salt and pepper noise is usually prevalent in such images. Removing this noise is an important issue. We propose median filter algorithm to removed such type of noise and obtain better results. This technique may be applied to uniform, nonuniform, regular, irregular objects with different shape, size and file formats. Binary images are obtained from color or greyscale images by proper thresholding. In this proposed method, the regions of various objects are found by region labelling process. These distinct regions are given the number of objects that are present inside the image. This algorithm is implemented on the .net technology. These methods produced good performance in term of accuracy. This is a process oriented task. So the machine having higher processing speed can serve the purpose better.

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An improved connected component labeling by recursive label propagation

Cited by 2 publications

References 15 publications

A secure edge power system based on a Docker container

A secure edge power system based on a Docker container

Counting Objects using Homogeneous Connected Components

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