Object Boundaries Detection Based Center Of Gravity

Ameen A. Noor
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Abstract

After the development in the field of visual data analysis, it has become necessary to obtain objects inside the image, which must be with a high degree of accuracy and clarity for the purpose of identifying the object inside that body in order to obtain clear living organisms, as well as medical professionals can clarify the types of diseases and their forms to find Treatments suitable for her.In this paper was used a set of previously used and proven mechanisms and techniques that help to remove impurities from the images and reveal the edges to distinguish the object's boundaries and the length of the body and calculate the center of gravity and through the mechanism of the body's rotation to identify these things so that specialists can determine what these things are and how to deal with them And develop possible solutions to it, whether medical, geographical or otherwise.
基于重心的物体边界检测
在视觉数据分析领域发展之后,有必要获得图像内部的物体,这必须具有高度的准确性和清晰度,以便识别身体内部的物体,以便获得清晰的生物体,并且医学专业人员可以澄清疾病的类型及其形式,以找到适合她的治疗方法。本文使用一组之前使用和有效的机制和技术,帮助去除杂质的图像和揭示了边缘区分对象的边界和身体的长度,计算出重心,通过身体的旋转的机制来识别这些东西,以便专家确定这些东西是什么以及如何处理这些问题和发展可能的解决方案,无论是医疗,地理或其他。
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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