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METHOD FOR NOISE-IMMUNE GRADIENT DETECTION OF OBJECT CONTOURS ON DIGITAL IMAGES

机译:数字图像对象轮廓的噪声免疫梯度检测方法

摘要

FIELD: information technology.;SUBSTANCE: position of pulse noise on the image is evaluated first, after which four auxiliary masks are formed, as well as eight control vectors (two vectors based on each auxiliary mask), and coefficients of corresponding four differently aligned Prewitt masks are then changed using given vectors. Further, the given masks are used to calculated the approximate value of the modulus of the image gradient, and contours of the object on the image are obtained through its threshold conversion.;EFFECT: higher sensitivity of the noise-immune gradient method of detecting contours to useful contour features of the image.;5 dwg
机译:领域:信息技术;实体:首先评估图像上脉冲噪声的位置,然后形成四个辅助掩模以及八个控制矢量(每个辅助掩模两个矢量),以及对应的四个不同对齐的系数然后使用给定的矢量更改Prewitt蒙版。此外,使用给定的遮罩来计算图像梯度模量的近似值,并通过其阈值转换获得图像上物体的轮廓。;效果:噪声免疫梯度方法检测轮廓的灵敏度更高到图像的有用轮廓特征。; 5 dwg

著录项

  • 公开/公告号RU2403616C1

    专利类型

  • 公开/公告日2010-11-10

    原文格式PDF

  • 申请/专利权人 SAMOJLIN EVGENIJ ALEKSANDROVICH;

    申请/专利号RU20090130816

  • 发明设计人 SAMOJLIN EVGENIJ ALEKSANDROVICH;

    申请日2009-08-12

  • 分类号G06K9/48;H04N1/409;G06T9/20;

  • 国家 RU

  • 入库时间 2022-08-21 18:29:28

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