Robust algorithm for detection of image features

K. Rumyantsev, Dmitry Petrov
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引用次数: 2

Abstract

Authors proved existence of uniformly most powerful invariant algorithm based on the t-test. Conducted study allowed to synthesize decision rule for detection of image features on 3×3 pixel patch was found. Simulation proved stability of the proposed feature point detection algorithm to change of mean value and standard deviation of background pixels' intensity. Versatility of detection algorithm determined only by set of pixels in the signal sample. Uniqueness of detected features determined by formation of support and analyzed samples. Authors obtained equations that allow to assess the effectiveness of the robust feature detector.
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图像特征检测的鲁棒算法
作者在t检验的基础上证明了一致最强大的不变量算法的存在性。通过研究,找到了在3×3像素块上合成图像特征检测的决策规则。仿真验证了所提特征点检测算法对背景像素强度均值和标准差变化的稳定性。检测算法的通用性仅由信号样本中的一组像素决定。检测特征的唯一性由支撑和分析样本的形成决定。作者获得了可以评估鲁棒特征检测器有效性的方程。
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