基于k-均值聚類算法的彩色圖像分割改進(jìn)算法-展示頁(yè)
2024-12-18 02:26本頁(yè)面
【正文】 the traditional image segmentation and clustering algorithm to partition, and then focuses on a segmentation method based on the K means clustering algorithm for image improvement. The experimental results show that the segmentation method can improve realtime stability of segmentation to ext ract the target partition to good effect. Key words: Kmeans clustering。 clustering algorithm 目錄 序言 ............................................................................................. 1 1 圖像分割綜述 ............................................................................. 1 圖像分割技術(shù)的現(xiàn)狀和發(fā)展情況 ....................................................... 1 圖像分割主要研究方法 ....................................................................... 2 2 K均值聚類算法 ......................................................................... 2 聚類概念 ............................................................................................. 2 K均值聚 類算法 ................................................................................. 2 3 基于 K均值聚類的彩色圖像分割算法及改進(jìn) ........................ 3 引言 ........................................................................................................ 3 圖像特征提取 ....................................................................................... 4 顏色特征的提取 ........................................................................ 4 紋理特征的提取 ........................................................................ 4 K均值聚類圖像分割算法的研究與改進(jìn) ............................................ 5 實(shí)驗(yàn)結(jié)果與分析 ................................................................................... 6 總結(jié)與展望 .................................................................................... 8 工作總結(jié) ............................................................................................... 8 工作展望 ............................................................................................... 8 參考文獻(xiàn) ...............
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