面积重构算子的理论和应用

Theory and application of area-reconstruction operator

为了有效地根据目标的面积尺度增强滤波效果,基于形态重构思想提出面积滤波算子.根据算子的定义设计二值面积重构滤波器、面积重构顶滤波器和面积重构顶变换滤波器,同时提供了一种基于队列的面积重构算子快速实现算法, 该算法对掩模图中像素点按照灰度值从高到低依次搜索,划分连通区域,再依据标识图中对应区域的面积和,有选择地重构掩模图中的区域.结果表明,该快速实现算法计算400×300像素大小的图像耗时约100 ms,比并行算法快了近50倍.面积重构算子滤波效果优于面积滤波和形态重构等算法,可以用于图像分割、简化滤波等实时处理领域.

In order to efficiently filter noise by area scale of objects, an area-reconstruction operator was brought forward based on morphological reconstruction. Binary area-reconstruction filter, area-reconstruction dome filter and area-reconstruction dome transform filter were introduced according to this new operator definition, and a novel queue-based quick algorithm for area-reconstruction operator was proposed. Pixels in mask image were processed decreasing grey level order to label connected components, and some connected components were selective reconstructed according to the area sum of corresponding regions in marker image. Results show that the rap n Y d algorithm dramatically reduces simulation time. For a 400 × 300 pixels grayscale image, the execution time is less than 100 ms, and up to 50 times faster than the parallel method. The area-reconstruction operator is better than the area filter and the morphological reconstruction, and can be used in real-time application such as image segmentation and image filter.