客觀的圖象質(zhì)量測度及其在分割評價(jià)中的應(yīng)用
OBJECTIVE IMAGE QUALITY MEASURES AND THEIR APPLICATIONS IN SEGMENTATION EVALUATION
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摘要: 圖象分割是圖象分析中的關(guān)健步驟。對圖象分割的評價(jià)是研究分割技術(shù)性能的有效手段,其中分割質(zhì)量測度起著重要作用。本文介紹一類新的客觀質(zhì)量測度并對其性能進(jìn)行了比較研究。另外為了驗(yàn)證新測度的有效性,本文提出了一種比較合理全面的分割技術(shù)分類法。在此基礎(chǔ)上選取各類技術(shù)中有代表性的算法借助新的質(zhì)量測度進(jìn)行了實(shí)際評價(jià)比較并取得了有意義的結(jié)果。
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關(guān)鍵詞:
- 圖象分割; 分割評價(jià); 質(zhì)量測度; 算法分類
Abstract: Image segmentation is a critical step of image analysis. Segmentation evaluation is an effective procedure for studying the performance of segmentation techniques, in which quality measure plays an important role. This paper presents a group of new objective quality measures for egmentation evaluation and compares their performances. In addition, to verify the effectiveness of these new measures, an appropriate classification of segmentation is proposed. According to this classification, several representative algorithms from different categories are selected for comparison testing. Some valuable results are obtained and presented. -
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