Method and Algorithm for Processing Large Volume Images

O. N. Andreichuk, N. Listopad
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引用次数: 0

Abstract

The article proposes a new method and an algorithm based on it for processing large-volume images. What is new in the implementation of image processing is the method of implementing program code using the App object. The novelty of the proposed method also lies in the algorithm for the specific implementation of filters for processing graphic elements. During development, various problematic situations were taken into account, such as using modern variable declaration syntax, using arrow functions, dividing code into smaller functions or class methods, adding comments to complex sections of code, checking for errors and exceptions, and following standards and guidelines by coding style. The implemented algorithm in the JavaScript programming language is an effective web application that uses the EaselJS library to work with graphics and has specific logic for working with graphic layers, drawing tools and user interaction, which ultimately made it possible to improve code performance compared to known solutions.
处理大容量图像的方法和算法
文章提出了一种处理大容量图像的新方法和基于该方法的算法。图像处理的新方法是使用 App 对象实现程序代码的方法。所提方法的新颖之处还在于具体实施用于处理图形元素的过滤器的算法。在开发过程中,考虑到了各种问题情况,如使用现代变量声明语法、使用箭头函数、将代码划分为更小的函数或类方法、在复杂的代码段中添加注释、检查错误和异常、按照编码风格遵循标准和指南等。用 JavaScript 编程语言实现的算法是一个有效的网络应用程序,它使用 EaselJS 库来处理图形,并具有处理图形层、绘图工具和用户交互的特定逻辑,最终使得与已知解决方案相比,代码性能得以提高。
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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