改进的标记控制分水岭分割图像拼接技术

Anurag Pushpakar, N. Dube, D. Dhar, R. Ramakrishnan
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引用次数: 0

摘要

无缝拼接生成是图像处理领域的一个具有挑战性的问题。多日期和多时间图像在辐射测量和观看几何方面有所不同,这使得手头的任务更加复杂。这些变化是在辐射归一化和地理校正的帮助下处理的。本文提出了一种对不同日期的地理校正图像进行拼接的方法。该方法对图像进行场景间归一化,并利用数学形态学算子从重叠区域中找出可能的最佳接缝线。对拼接产品的整体视觉质量进行了分析,验证了算法的有效性。
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Improved image mosaicing technique using marker controlled watershed segmentation
Seamless mosaic generation is a challenging issue in the field of image processing. Multi date and multi time images vary in terms of radiometry as well as geometry of viewing, this makes the task at hand more intricate. These variations are taken care of with the help of radiometrie normalization and geo-correction. In this paper an approach is proposed for mosaicing geo corrected images acquired on different days. This approach uses inter scene normalization of the images and utilizes a mathematical morphological operator to find out the best possible seam line from the overlap area. Overall visual quality of the mosaiced product is analyzed to verify the algorithm.
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