FPGA based connected component labeling

Lee, Dae Ro; Jin, Seung Hun; Thien, Pham Cong; Jeon, Jae Wook

doi:10.1109/iccas.2007.4406746

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…At the regional level, there are certain indicators that can aid in the examination of extreme events. The connected components labelling technique, which involves identifying regions in an image, proves valuable for segregating and enumerating objects (Falcao et al, 2004; Lee et al, 2007). Consequently, this method enables the identification of the most heavily impacted area by an extreme event and facilitates the assessment of its long‐term trend.…”

Section: Discussionmentioning

confidence: 99%

Trend analysis of widespread heat days in the Middle East and North Africa region between 1871 and 2012

Rezaei,

Aalijahan,

Lupo

et al. 2023

Intl Journal of Climatology

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One of the greatest challenges facing the world today is global warming. Long‐term analysis of spatiotemporal variations in widespread heat days (WHDs) is one approach to monitoring this phenomenon, rather than focusing on the temperature trend. The objective of this study was to reconstruct the temporal and spatial variation of WHDs in the Middle East and North Africa (MENA) using the long‐term NOAA/CIRES/DOE 20th Century Reanalysis (V2) (20CRv2) reanalysis data between 1871 and 2012. Based on a 90% probability of occurrence, the temperature threshold for detecting WHDs was defined to be different for each grid point. Then, most WHDs of each month (142 samples) were identified based on the connected component labelling method. The results showed that most WHDs for each month occurred mainly after 2000. In general, the western parts of Iran, Syria, southern Turkey, Saudi Arabia, Kuwait, Egypt and northern Sudan had the highest density of WHDs. In the second period (1941–2012), the extent of WHDs increased compared to the first period (1871–1941). The spatial relationship between WHDs density in the first and second periods showed no statistical relationship, indicating that WHDs were completely different in the two periods. The results of this study contribute to a better understanding of the effects of global warming by using the relatively longest data sets. The comparison between the two periods shows that the WHDs in MENA have changed in extent (instead of variability).

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Section: Discussionmentioning

confidence: 99%

Trend analysis of widespread heat days in the Middle East and North Africa region between 1871 and 2012

Rezaei,

Aalijahan,

Lupo

et al. 2023

Intl Journal of Climatology

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“…The image object, which is the component, is separated from the background image on binary image. Then each component is labeled and displayed as output images (Lee et al, 2007). Points belonging to a surface project to spatially closed points.…”

Section: Introductionmentioning

confidence: 99%

“…Improvement on the accuracy and labeling speed has been reported in various researches (Lee et al, 2007;Falcao et al, 2005;Sossa and Guzman, 2000;Yang and Zhang, 2003;Rosenfeld and Pfaltz, 1966). For instance, Di Stefano and Bulgarelli (1999) and Jonas et al (1997) proposed a comparatively more efficient and much simpler algorithm, that shows an improvement in the efficiency of the labeling process.…”

Section: Introductionmentioning

confidence: 99%

Connected Component Labeling Using Components Neighbors-Scan Labeling Approach

Rakhmadi

Othman²,

Bade

et al. 2010

Journal of Computer Science

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Problem statement: Many approaches have been proposed in previous such as the classic sequential connected components labeling algorithm which is relies on two subsequent raster-scans of a binary image. This method produced good performance in terms of accuracy, but because of the implementation of the image processing systems now requires faster process of the computer, the speed of this techniques process has become an important issue. Approach: A computational approach, called components neighbors-scan labeling algorithm for connected component labeling was presented in this study. This algorithm required scanning through an image only once to label connected components. The algorithm started by scanning from the head of the components group, before tracing all the components neighbors by using the main components information. This algorithm had desirable characteristics, it is simple while promoted accuracy and low time consuming. By using a table of components, this approach also gave other advantages as the information for the next higher process. Results: The approach had been tested with a collection of binary images. In practically all cases, the technique had successfully given the desired result. Averagely, from the results the algorithm increased the speed around 67.4% from the two times scanning method. Conclusion: Conclusion from the comparison with the previous method, the approach of components neighbors-scan for connected component labeling promoted speed, accuracy and simplicity. The results showed that the approach has a good performance in terms of accuracy, the time consumed and the simplicity of the algorithm

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