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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Texture-based image segmentation applied to the quantification of superficial sand in salmonid river gravels
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Texture-based image segmentation applied to the quantification of superficial sand in salmonid river gravels

机译：基于纹理的图像分割在鲑鱼砾石中浅层砂的定量分析中的应用

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摘要

The presence of fine sediment in river gravels is widely recognized as being detrimental to salmonid habitat quality. In order to facilitate quantification of sand presence at larger scales, this paper presents an application of image processing allowing for rapid and accurate assessments of superficial sand presence in dry exposed fluvial gravels. Images for the process are acquired with a 35 mm SLR film camera and then scanned with a desktop scanner. Texture-based segmentation is then applied to differentiate between sand and clast areas. Results show that the method is accurate and therefore it offers an alternative to bulk sampling in cases where rapid assessments of sand presence are required. Copyright (C) 2005 John Wiley Sons, Ltd.
机译：人们普遍认为，河卵石中存在细小的沉积物会对鲑鱼的栖息地质量造成不利影响。为了便于量化较大范围内砂的存在，本文提出了一种图像处理应用程序，可以快速，准确地评估干燥暴露的河流砾石中浅层砂的存在。使用35毫米SLR胶片相机获取该过程的图像，然后使用台式扫描仪进行扫描。然后应用基于纹理的分割来区分沙子和碎屑区域。结果表明，该方法是准确的，因此，在需要快速评估沙粒存在的情况下，它可以代替批量采样。版权所有（C）2005 John Wiley Sons，Ltd.

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