發(fā)布時間：2018-06-18 19:34

  本文選題：對比度增強(qiáng) + 數(shù)學(xué)形態(tài)學(xué)��； 參考：《測繪通報》2017年08期

【摘要】：提出了一種基于對比度增強(qiáng)和形態(tài)學(xué)的遙感影像道路邊界與特征點(diǎn)提取的方法。先對遙感影像進(jìn)行對比度變換增強(qiáng),通過對比分析直方圖均衡化和對比度分段線性增強(qiáng)兩種方法獲取的增強(qiáng)影像,選取區(qū)分度大的分段線性增強(qiáng)方法進(jìn)行影像增強(qiáng),然后運(yùn)用數(shù)學(xué)形態(tài)法進(jìn)行影像分割,實(shí)現(xiàn)道路和其他圖像信息的有效分離。利用Krisch算子進(jìn)行邊緣檢測提取道路的邊緣信息,并基于邊緣特征利用改進(jìn)的Harris算子提取特征點(diǎn),將提取的特征點(diǎn)進(jìn)行擬合并用函數(shù)模型描述圖像道路信息,用于后期制圖中道路信息的矢量化。
[Abstract]:A method for extracting road boundary and feature points from remote sensing image based on contrast enhancement and morphology is proposed. First, contrast transform enhancement of remote sensing image is carried out. The enhancement images obtained by histogram equalization and contrast piecewise linear enhancement are compared and analyzed, and the segmented linear enhancement method with large differentiation is selected for image enhancement. Then the mathematical morphological method is used for image segmentation to realize the effective separation of road and other image information. The edge information of road is extracted by Krisch operator. Based on the edge feature, the feature points are extracted by improved Harris operator, and the extracted feature points are combined to describe the road information of the image using function model. Used for vectorization of road information in late cartography.
【作者單位】： 信息工程大學(xué);河南理工大學(xué);
【基金】：國家自然科學(xué)基金(41271391)
【分類號】：TP751
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本文編號：2036629