Color Image Segmentation that Preserves Boundary by using Mean Shift Algorithm and Region Merging Method

Kwak,; Kwon,; Ahn, Jung Ho

doi:10.1109/ichit.2006.253582

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Classification algorithms are classified into edge-based and region-based approaches (Kwak et al, 2006). However, since it is not easy to distinguish the edges in images for the edge-based approaches (Park, 2004), this study classified the trees in the study site by individual using the mean shift algorithm that is one of the region-based approaches.…”

Section: Image Classificationmentioning

confidence: 99%

A Study on Obtaining Tree Data from Green Spaces in Parks Using Unmanned Aerial Vehicle Images: Focusing on Mureung Park in Chuncheon

Lee¹,

Kil

Lee

2021

J. People Plants Environ

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Background and objective: The purpose of study is to analyze the three-dimensional (3D) structure by creating a 3D model for green spaces in a park using unmanned aerial vehicle (UAV) images. Methods: After producing a digital surface model (DSM) and a digital terrain model (DTM) using UAV images taken in Mureung Park in Chuncheon-si, we generated a digital tree height model (DHM). In addition, we used the mean shift algorithm to test the classification accuracy, and obtain accurate tree height and volume measures through field survey. Results: Most of the tree species planted in Mureung Park were Pinus koraiensis, followed by Pinus densiflora, and Zelkova serrata, and most of the shrubs planted were Rhododendron yedoense, followed by Buxus microphylla, and Spiraea prunifolia. The average height of trees measured at the site was 7.8 m, and the average height estimated by the model was 7.5 m, showing a difference of about 0.3 m. As a result of the t-test, there was no significant difference between height values of the field survey data and the model. The estimated green coverage and volume of the study site using the UAV were 5,019 ㎡ and 14,897 ㎥, respectively, and the green coverage and volume measured through the field survey were 6,339 ㎡ and 17,167 ㎥. It was analyzed that the green coverage showed a difference of about 21% and the volume showed a difference of about 13%. Conclusion: The UAV equipped with RTK (Real-Time Kinematic) and GNSS (Global Navigation Satellite System) modules used in this study could collect information on tree height, green coverage, and volume with relatively high accuracy within a short period of time. This could serve as an alternative to overcome the limitations of time and cost in previous field surveys using remote sensing techniques.

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Section: Image Classificationmentioning

confidence: 99%

A Study on Obtaining Tree Data from Green Spaces in Parks Using Unmanned Aerial Vehicle Images: Focusing on Mureung Park in Chuncheon

Lee¹,

Kil

Lee

2021

J. People Plants Environ

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A simple hybrid image segmentation method for embedded visual display devices

Sateesh

2010

2010 3rd International Congress on Image and Signal Processing

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Image segmentation plays a major role in computer vision. It is a fundamental task for feature extraction and pattern matching applications. This paper proposes a simple hybrid Image segmentation method which is mainly based on mathematical morphological operations and filtering techniques. The main aim of the proposed hybrid segmentation method is to segment the foreground object in the given image and mark the segmented region with precision. The purpose of developing this method is to identify a prominent single object based photographs automatically in real time. Also the algorithm must work for worst cases (fog, mist, blur, noise etc). This requirement needs a precise segmentation approach which must be computationally less costly and easy to implement with better quality of segmenting the object as Region of interest. The images are at first subjected to Gaussian filtering to make the image smooth for segmentation. Later, applying Sobel edge detection algorithm to detect the edges properly and then applying morphological operations logically arranged in a novel way for morphological image cleaning purposes. In the final stage, the object of interest is segmented and marked which proves the efficiency of the proposed hybrid image segmentation algorithm. Furthermore, the proposed hybrid image segmentation algorithm is implemented in MATLAB (version 7.0 on an Intel P-4 dual core) and evaluated on 350 jpeg images with satisfactory results. The images sizes which were tested are 384 *

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Color Image Segmentation that Preserves Boundary by using Mean Shift Algorithm and Region Merging Method

Cited by 2 publications

References 6 publications

A Study on Obtaining Tree Data from Green Spaces in Parks Using Unmanned Aerial Vehicle Images: Focusing on Mureung Park in Chuncheon

A Study on Obtaining Tree Data from Green Spaces in Parks Using Unmanned Aerial Vehicle Images: Focusing on Mureung Park in Chuncheon

A simple hybrid image segmentation method for embedded visual display devices

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