<th id="5nh9l"></th><strike id="5nh9l"></strike><th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th><strike id="5nh9l"></strike>
<progress id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"><noframes id="5nh9l">
<th id="5nh9l"></th> <strike id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span>
<progress id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span><strike id="5nh9l"><noframes id="5nh9l"><strike id="5nh9l"></strike>
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"></span><span id="5nh9l"><video id="5nh9l"></video></span>
<th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th>
<progress id="5nh9l"><noframes id="5nh9l">

基于顧及像素空間信息的加權FCM聚類的圖像分割

Image segmentation based on weighted fuzzy C-means clustering accounting for pixel spatial information

  • 摘要: 針對標準的FCM算法沒有考慮像素的空間信息而對噪聲比較敏感和沒有考慮不同樣本數據對聚類效果的不同影響的不足,提出了一種顧及像素空間信息的基于圖像的灰度直方圖加權的FCM聚類算法,它在Szilagyi等提出的算法基礎上通過引入圖像的灰度直方圖加權對算法中的目標函數進行修改.對人工合成圖像和真實圖像的數值模擬結果均顯示出該算法的優良性能.

     

    Abstract: The standard FCM algorithm is noise sensitive because of not taking spatial information into account, and it considers that each feature datum has the same contribution to classifying results. To overcome the above problems, this paper presented a modified FCM algorithm accounting for pixel spatial information based on gray histogram weight. The proposed algorithm was realized via introducing a gray histogram weight in the objective function given in Szilagyi's algorithm. Experimental results on both artificial synthesized images and realistic images demostrated the sound performances of the proposed algorithm.

     

/

返回文章
返回
<th id="5nh9l"></th><strike id="5nh9l"></strike><th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th><strike id="5nh9l"></strike>
<progress id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"><noframes id="5nh9l">
<th id="5nh9l"></th> <strike id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span>
<progress id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"><noframes id="5nh9l"><span id="5nh9l"></span><strike id="5nh9l"><noframes id="5nh9l"><strike id="5nh9l"></strike>
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"><noframes id="5nh9l">
<span id="5nh9l"></span><span id="5nh9l"><video id="5nh9l"></video></span>
<th id="5nh9l"><noframes id="5nh9l"><th id="5nh9l"></th>
<progress id="5nh9l"><noframes id="5nh9l">
259luxu-164