模式识别与人工智能
模式識彆與人工智能
모식식별여인공지능
Moshi Shibie yu Rengong Zhineng
2014年
11期
1040-1046
,共7页
图像自适应缩放%线裁剪%能量函数%线路提取
圖像自適應縮放%線裁剪%能量函數%線路提取
도상자괄응축방%선재전%능량함수%선로제취
Image Resizing%Seam Carving%Energy Function%Seam Extraction
基于线裁剪的自适应缩放图像质量依赖于线路能量函数的定义以及线路提取的结果。提出一种新的线路能量函数以计算每条线路对视觉感知的重要性。该算法通过定义新增能量项衡量删除线路上像素点后图像局部区域的走样变形,并引入最大像素能量项降低随机纹理区的线路能量。实验结果证明,与其它几种经典算法相比,采用新能量函数提取的线路定位更为合理,处理结果与原始图像更相似,重点对象细节部分走样的问题也更少。
基于線裁剪的自適應縮放圖像質量依賴于線路能量函數的定義以及線路提取的結果。提齣一種新的線路能量函數以計算每條線路對視覺感知的重要性。該算法通過定義新增能量項衡量刪除線路上像素點後圖像跼部區域的走樣變形,併引入最大像素能量項降低隨機紋理區的線路能量。實驗結果證明,與其它幾種經典算法相比,採用新能量函數提取的線路定位更為閤理,處理結果與原始圖像更相似,重點對象細節部分走樣的問題也更少。
기우선재전적자괄응축방도상질량의뢰우선로능량함수적정의이급선로제취적결과。제출일충신적선로능량함수이계산매조선로대시각감지적중요성。해산법통과정의신증능량항형량산제선로상상소점후도상국부구역적주양변형,병인입최대상소능량항강저수궤문리구적선로능량。실험결과증명,여기타궤충경전산법상비,채용신능량함수제취적선로정위경위합리,처리결과여원시도상경상사,중점대상세절부분주양적문제야경소。
The image quality of seam carving based image resizing method heavily depends on the definition of seam energy function and the result of seam extraction. A seam energy function is proposed to calculate the visual perception importance of each seam, in which an incremental energy term is defined to measure the local image aliasing after seam pixels are deleted, and a maximum pixel energy term is introduced to reduce the seam energy of random texture regions. The experimental results show that compared with several other classical methods, the proposed energy function have more reasonable location, its results are more similar to the original images, and it has fewer aliasing problems in the details of images key objects.