THE CURVE ARC AS A STRUCTURE ELEMENT OF AN OBJECT CONTOUR IN THE IMAGE TO BE RECOGNIZED

IF 0.2 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
V. Kalmykov, A. V. Sharypanov, V. Vishnevskey
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Abstract

Context. The proposed article relates to the field of visual information processing in a computer environment, more precisely to the determination the parameters of the interest object in the image, in particular, the contour of the interest object In most cases, the contour of an object is a simply connected sequence of curve arcs. Objective. The purpose and subject of the study is to find and to propose such a definition of the digital curve arc, as the most important element of the object contour in the recognizable image, which does not contradict modern neurophysiological conceptions about visual perception, and to recognize the object contour as a sequence of the digital curve arcs. Method. The representation of the image in the form of a structural model is used, one of the structural elements of which is the contour of the object, consisting of digital curve arcs. Also, the image is considered as a cellular complex which corresponds to modern ideas about human visual perception. Results. The new definition for arc of a digital curve as a sequence of digital straight segments is proposed, which does not contradict to modern concepts of neurophysiology. In contrast to the known definitions of a curve arc, the proposed definition of a digital curve arc makes it possible to determine the start and end points of the arc. According to the description of the contour of an object as a simply connected closed sequence of line segments, it is proposed to construct a description of the contour as a sequence of arcs of digital curves. Conclusions. The use of the proposed definition of the digital curve arc in image processing makes it possible to recognize the contour of an object in an image and present it in a form close to visual perception. For best results, the use of variable resolution in image processing algorithms is recommended.
将曲线弧作为待识别图像中物体轮廓的结构元素
上下文。本文拟涉及计算机环境下的视觉信息处理领域,更确切地说是图像中感兴趣对象的参数确定,特别是感兴趣对象的轮廓。在大多数情况下,一个对象的轮廓是曲线弧的单连通序列。目标。本研究的目的和课题是寻找并提出这样一种定义,即数字曲线弧作为可识别图像中物体轮廓最重要的元素,与现代视觉感知的神经生理学概念不矛盾,并将物体轮廓识别为数字曲线弧的序列。方法。图像以结构模型的形式表示,其中一个结构元素是物体的轮廓,由数字曲线弧组成。此外,图像被认为是一个细胞复合体,与人类视觉感知的现代观念相对应。结果。提出了数字曲线弧作为数字直线段序列的新定义,这与现代神经生理学的概念并不矛盾。与已知的曲线弧的定义相反,提出的数字曲线弧的定义使得确定弧的起点和终点成为可能。根据将物体轮廓描述为单连通的封闭线段序列的观点,提出了将物体轮廓描述为数字曲线的弧序列的方法。结论。在图像处理中使用所提出的数字曲线弧的定义,可以识别图像中物体的轮廓,并以接近视觉感知的形式呈现。为了获得最佳效果,建议在图像处理算法中使用可变分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radio Electronics Computer Science Control
Radio Electronics Computer Science Control COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
自引率
20.00%
发文量
66
审稿时长
12 weeks
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