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Comparative Analysis of Segmentation Efficiency Method the Halftont Image Based on the Selection of Priority Direction of Machining Segment Boundaries

机译:基于加工线段边界优先方向选择的半色调图像分割效率方法的比较分析

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摘要

This article proposes a method for segmenting raster halftone images enhances the quality and accuracy of the allocation of the image. The developed method is based on post gradient image processing, whereby a sliding nine elements window selects a priority processing of images and boundaries are corrected pixel brightness gradient image, caught in the priority areas of the sliding window. Implemented analysis of the effectiveness of the proposed method in comparison with one of its most well-known, the gradient method. An assessment of the complexity of the algorithms implemented by comparing the number of operations performed in the present and the known method. The graph of the time implementing a gradient algorithm and algorithm selection processing of the priority areas is presented, taking into account the size of the processed image. It offers a variety of options to determine the accuracy and speed of segmentation algorithms. The estimation accuracy for the three types of segmentation algorithms and built for the allocation of the relevant characteristics of circuits.
机译:本文提出了一种分割光栅半色调图像的方法,可以提高图像分配的质量和准确性。所开发的方法基于后梯度图像处理,其中滑动九元素窗口选择图像的优先处理,并且边界被校正的像素亮度梯度图像捕获在滑动窗口的优先区域中。与最著名的梯度方法之一相比,对所提出方法的有效性进行了分析。通过比较在当前方法和已知方法中执行的操作数来评估算法的复杂性。考虑到处理图像的大小,给出了实现梯度算法和优先区域的算法选择处理的时间图。它提供了多种选项来确定分割算法的准确性和速度。三种类型的分割算法的估计精度,并为分配电路的相关特性而建立。

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