A Study of Color Image Segmentation Using Two Phase Methods: SOM and Region Feature

碩士 === 中原大學 === 工業工程研究所 === 92 === Image segmentation technology evolution has a trend toward the three-dimensional color image instead of the one-dimensional gray image. Cluster-based image segmentation algorithms take advantage of color image with more data in three-dimension. However, most cluste...

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Main Authors: Ya-Ting Yang, 楊雅婷
Other Authors: Hsin Rau
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/62137946541810685132
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spelling ndltd-TW-092CYCU50300612016-01-04T04:08:51Z http://ndltd.ncl.edu.tw/handle/62137946541810685132 A Study of Color Image Segmentation Using Two Phase Methods: SOM and Region Feature 應用自組織特徵映射網路與區塊特徵兩段式方法於彩色影像分割之研究 Ya-Ting Yang 楊雅婷 碩士 中原大學 工業工程研究所 92 Image segmentation technology evolution has a trend toward the three-dimensional color image instead of the one-dimensional gray image. Cluster-based image segmentation algorithms take advantage of color image with more data in three-dimension. However, most cluster-based color image segmentation algorithms discussed in the literature only consider the distribution of a color space, but they seldom consider the features of the image domain. This could result in over-segmentation. Due to this concern this study proposes a two-phase method for the segmentation of color images. In the fist phase, we use the self-organizing feature map (SOM) network method to reduce the information to represent an image by neurons or clustering centers. In the second phase, we merge regions of the segmented image by the region features including color, position, and shape. This research proposes the method to find the suitable number of regions after segmentation; more regions result in over-segmentation, but less regions may distort the original image. This study uses three quantitative evaluation functions of color image segmentation to compare our method with three other methods: the improved single stage SOM method, our method but only color feature is considered, and the two-stage heuristic SOM method, and it is proved that the proposed method has the best performance. Hsin Rau 饒忻 2004 學位論文 ; thesis 70 zh-TW
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description 碩士 === 中原大學 === 工業工程研究所 === 92 === Image segmentation technology evolution has a trend toward the three-dimensional color image instead of the one-dimensional gray image. Cluster-based image segmentation algorithms take advantage of color image with more data in three-dimension. However, most cluster-based color image segmentation algorithms discussed in the literature only consider the distribution of a color space, but they seldom consider the features of the image domain. This could result in over-segmentation. Due to this concern this study proposes a two-phase method for the segmentation of color images. In the fist phase, we use the self-organizing feature map (SOM) network method to reduce the information to represent an image by neurons or clustering centers. In the second phase, we merge regions of the segmented image by the region features including color, position, and shape. This research proposes the method to find the suitable number of regions after segmentation; more regions result in over-segmentation, but less regions may distort the original image. This study uses three quantitative evaluation functions of color image segmentation to compare our method with three other methods: the improved single stage SOM method, our method but only color feature is considered, and the two-stage heuristic SOM method, and it is proved that the proposed method has the best performance.
author2 Hsin Rau
author_facet Hsin Rau
Ya-Ting Yang
楊雅婷
author Ya-Ting Yang
楊雅婷
spellingShingle Ya-Ting Yang
楊雅婷
A Study of Color Image Segmentation Using Two Phase Methods: SOM and Region Feature
author_sort Ya-Ting Yang
title A Study of Color Image Segmentation Using Two Phase Methods: SOM and Region Feature
title_short A Study of Color Image Segmentation Using Two Phase Methods: SOM and Region Feature
title_full A Study of Color Image Segmentation Using Two Phase Methods: SOM and Region Feature
title_fullStr A Study of Color Image Segmentation Using Two Phase Methods: SOM and Region Feature
title_full_unstemmed A Study of Color Image Segmentation Using Two Phase Methods: SOM and Region Feature
title_sort study of color image segmentation using two phase methods: som and region feature
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/62137946541810685132
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