Efficient Superpixel Construction Using Spatial and Color Information
碩士 === 國立中興大學 === 資訊科學與工程學系 === 104 === We propose a novel superpixel extraction method to generate regular and compact superpixels. To reduce the computational burden of iterative optimization procedure of most recent approaches, the spatial and color quantizations are performed to represent pixels...
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ndltd-TW-104NCHU53940172017-01-11T04:08:09Z http://ndltd.ncl.edu.tw/handle/49736989027907604959 Efficient Superpixel Construction Using Spatial and Color Information 基於空間與顏色資訊之高效率超像素建構演算法 Wei-An Wang 王偉安 碩士 國立中興大學 資訊科學與工程學系 104 We propose a novel superpixel extraction method to generate regular and compact superpixels. To reduce the computational burden of iterative optimization procedure of most recent approaches, the spatial and color quantizations are performed to represent pixels and superpixels. Then, pixels are assigned to the most spatially and visually similar superpixels using maximum a posterior estimation in the pixel and region levels. As a result, the extracted superpixels can precisely adhere boundaries of objects and are extremely efficient to generate. Experimental results show that the proposed method can achieve better or competitive performance compared to the state-of-the-art superpixel extraction approaches in terms of boundary recall, undersegmentation error and achievable segmentation accuracy and is significantly faster than these approaches. Chun-Rong Huang 黃春融 2016 學位論文 ; thesis 38 en_US |
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碩士 === 國立中興大學 === 資訊科學與工程學系 === 104 === We propose a novel superpixel extraction method to generate regular and compact superpixels. To reduce the computational burden of iterative optimization procedure of most recent approaches, the spatial and color quantizations are performed to represent pixels and superpixels. Then, pixels are assigned to the most spatially and visually similar superpixels using maximum a posterior estimation in the pixel and region levels. As a result, the extracted superpixels can precisely adhere boundaries of objects and are extremely efficient to generate. Experimental results show that the proposed method can achieve better or competitive performance compared to the state-of-the-art superpixel extraction approaches in terms of boundary recall, undersegmentation error and achievable segmentation accuracy and is significantly faster than these approaches.
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Chun-Rong Huang |
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Chun-Rong Huang Wei-An Wang 王偉安 |
author |
Wei-An Wang 王偉安 |
spellingShingle |
Wei-An Wang 王偉安 Efficient Superpixel Construction Using Spatial and Color Information |
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Wei-An Wang |
title |
Efficient Superpixel Construction Using Spatial and Color Information |
title_short |
Efficient Superpixel Construction Using Spatial and Color Information |
title_full |
Efficient Superpixel Construction Using Spatial and Color Information |
title_fullStr |
Efficient Superpixel Construction Using Spatial and Color Information |
title_full_unstemmed |
Efficient Superpixel Construction Using Spatial and Color Information |
title_sort |
efficient superpixel construction using spatial and color information |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/49736989027907604959 |
work_keys_str_mv |
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