漫画图像数字化分析的探索

Jacob Murel
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引用次数: 1

摘要

摘要:与传统的历史、文本和艺术批判分析方法相比,用于漫画图像大规模分析的数字工具和方法在漫画研究中的应用很少。本文介绍了一种使用医学成像软件ImageJ分析数百幅漫画图像的数字方法,并在此过程中展示了该方法在为理解(有时,熟悉)漫画开辟新途径方面的实用性。在回顾了当前漫画的数字学术研究之后,本文通过对20世纪早期美国报纸漫画《沉睡国的小尼莫》的案例研究,展示了ImageJ在批判性(重新)研究漫画方面的效用。除了展示ImageJ用于分析大量漫画图像的实用程序之外,我希望展示以探索而不是确定性的精神部署数字工具和方法的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Exploration in the Digital Analysis of Comics Images
ABSTRACT:Digital tools and methods for the large-scale analysis of comics images have seen little application within comics studies when compared against traditional methods of historical, textual, and art-critical analysis. This paper presents a digital method for analyzing hundreds of comics images using the medical imaging software ImageJ and, in doing so, demonstrates that method’s utility in opening new avenues for understanding (at times, familiar) comics. Following a review of current digital scholarship of comics, this paper demonstrates ImageJ’s utility in critically (re)examining comics through a case study focused on Winsor McCay’s early twentieth-century American newspaper comic Little Nemo in Slumberland. Beyond showcasing ImageJ’s utility for analyzing comics images en masse, I hope to demonstrate the value of deploying digital tools and methods in an exploratory rather than deterministic spirit.
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