opencv Mser的用法

最新推荐文章于 2024-11-13 07:23:49 发布

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本文详细介绍了OpenCV中的Mser（Minimum Spanning Tree-based Edge Detection）区域生长算法的用法，涉及参数如delta、_min_area_prune、_max_area_prune等，并讨论了它们在不同场景下的应用。了解这些参数有助于优化区域检测效果。

opencv Mser的用法

delta it compares (size_i − size{i−delta}) / size_{i−delta}, default 5
_min_area prune the area which smaller than minArea
_max_area prune the area which bigger than maxArea
_max_variation prune the area have similar size to its children
_min_diversity for color image, trace back to cut off mser with diversity less than min_diversity
_max_evolution for color image, the evolution steps
_area_threshold for color image, the area threshold to cause re-initialize
_min_margin for color image, ignore too small margin
_edge_blur_size for color image, the aperture size for edge blur