山西电子技术
山西電子技術
산서전자기술
SHANXI ELECTRONIC TECHNOLOGY
2012年
1期
46-47,64
,共3页
黄河模型%角点检测%SUSAN%阈值选取
黃河模型%角點檢測%SUSAN%閾值選取
황하모형%각점검측%SUSAN%역치선취
the Yellow River model%comer detect%SUSAN%selection of threshold value
分析了SUSAN算法进行角点检测的原理和有效性，在此基础上提出了一种采用改进了的SUSAN算法来提取黄河模型图像的角点特征。利用自适应的选取灰度差阈值的方法；再采用利用设定几何阈值的上下限方法，实现了黄河模型角点的自动识别和检测。实验表明，该方法提取的角点抗噪性能好，清晰真实，细致，定位精确。为下一步立体匹配和三维重构打下了基础。
分析瞭SUSAN算法進行角點檢測的原理和有效性，在此基礎上提齣瞭一種採用改進瞭的SUSAN算法來提取黃河模型圖像的角點特徵。利用自適應的選取灰度差閾值的方法；再採用利用設定幾何閾值的上下限方法，實現瞭黃河模型角點的自動識彆和檢測。實驗錶明，該方法提取的角點抗譟性能好，清晰真實，細緻，定位精確。為下一步立體匹配和三維重構打下瞭基礎。
분석료SUSAN산법진행각점검측적원리화유효성，재차기출상제출료일충채용개진료적SUSAN산법래제취황하모형도상적각점특정。이용자괄응적선취회도차역치적방법；재채용이용설정궤하역치적상하한방법，실현료황하모형각점적자동식별화검측。실험표명，해방법제취적각점항조성능호，청석진실，세치，정위정학。위하일보입체필배화삼유중구타하료기출。
This paper analyzes the principle and availability of SUSAN algorithm in comer detecting. Based on this, a method that adopts the improved SUSAN algorithm is put forward to extract the comer features of the Yellow River Model images. The method utili- zes first the self-adaptive threshold method of gray level difference, and then adopts the method of setting its upper and lower limits of geometric threshold to realize the automatic identification and detection for the Yellow River comer. Experiments show that this method of comer detection is good for de-noising. Its boundary is clear, true, meticulous, and the location is accurate. It makes the foundation for detecting stereo matching and 3D reconstruction in next step.
