图像的边搜索和对象改进算法

Ranbeer Tyagi, G. Tomar, L. Shrivastava
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引用次数: 2

摘要

在数字世界中,图像改进和边缘发现对于发现与实体相关的知识非常重要,例如强度、水平、对比度、范围、限制、缺失和隐藏区域或边界等。有很少的方法和计算来展示一个目标的更好的细节。本文主要讨论了一种边缘查找方法,即边搜索算法(Side Searching Algorithm, SSA),它可以从图像中发现不可见的边界,这是一种非常简单的方法。另一种未来的增强技术找到了描绘的途径,增强了对目标最黑暗的观察。为此,提出了一种对象改进算法(OIA)来增强图像的最暗区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Side searching and object improving algorithms for Images
Image improvement and edge discovery are very important in the digital globe to discover the knowledge related to an entity similar to strength, level, contrast, range, limitations, missing and hidden areas or boundaries etc. There are very less methods and calculations to exhibit the better details of a goal. In this paper primarily, an edge finding method i.e. Side Searching Algorithm (SSA) has been discussed that discovers the unseen boundaries from images and it is an extremely easy approach. The other future technique of enhancement finds its path to depiction and enhances the darkest observation of an aim. For this an Object Improving Algorithm has been developed (OIA) for enhancing the darkest area of image.
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