種處理大量圖像數(shù)據(jù)的形態(tài)學(xué)自動(dòng)圖像合成算法(編輯修改稿)
2025-06-14 23:55 本頁(yè)面
【文章內(nèi)容簡(jiǎn)介】 的目標(biāo)就是改變這種 做法，減少對(duì)視覺(jué)判斷依賴(lài)。當(dāng)采用其他方法，例如通過(guò)對(duì)圖像進(jìn)行模糊 或者采用輻射線(xiàn)測(cè)定法以隱藏重疊區(qū)域，這樣處理獲得的接合線(xiàn)是令人滿(mǎn) 意的，但這只是 “ 化妝品作用 ” 。本文采用的方法目的是為了實(shí)現(xiàn)定量上判 斷的目標(biāo)，并且不對(duì)原始圖像做任何改變。 The morphological image positing algorithm is able to produce visually pleasing seam lines because the algorithm was devised to cut along salient image features present in all overlapping images. Essentially, cut lines are delineated mainly along the boundary between adjacent image objects whose grey level difference is greatest. This reduces the visual confusion and produces visually pleasing seam lines without changing the image radiometry. This is true of course as long as the overall differences between images are not too marked。 形態(tài)學(xué)上的圖像合成算法能生成令人滿(mǎn)意的接合線(xiàn)，因?yàn)樗惴ㄊ茄? 著所有重疊圖像的特征輪廓進(jìn)行劃分的。如果結(jié)合線(xiàn)的劃分能夠沿著相 鄰圖像邊界上的 灰度差最大處 進(jìn)行，這樣，就避免改變圖像幅度值， 不會(huì)造成視覺(jué)混亂，得到
環(huán)評(píng)公示相關(guān)推薦
鄂ICP備17016276號(hào)-1