基于叶特征提取和GLCM的K-NN保证类型分类

IF 2.5 3区 社会学 Q2 DEVELOPMENT STUDIES
Muhammad Haris Zuhri, A. Thoriq, A. Syukur, Affandy Affandy, M. Muslih, M. Soeleman
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引用次数: 0

摘要

印度尼西亚是一个肥沃的地区,属于亚热带气候,这使得植物在印度尼西亚的各个地方都生长得很好。番石榴在印度尼西亚有各种各样的变种。在这几种类型中,包括果实、树和叶子的结构都有差异。本研究的重点是利用GLCM特征提取、细节提取和K-NN形状提取方法对番石榴叶骨图像进行物种分类。本研究使用4种番石榴类型的数据集多达300张图片,其中每种类型多达75张图片。本研究在提取叶骨图像的过程中,经过预处理、灰度图像、二值图像和形态学等几个过程,最终得到叶骨图像。得到提取值后,使用K-NN方法对数据进行处理。K-NN方法的最高准确率为k1 = 92.42%,标准差为6.05%(微平均值为92.45%)。因此,GLCM特征提取、细节和形状提取可以潜在地提高基于叶骨图像的番石榴分类的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of Guarantee Types Using Leaf Feature Extraction with Minutiae and GLCM Using K-NN Method
Indonesia is a fertile area that has a sub-tropical climate that makes plants grow well in various parts of Indonesia. There are various variants of guava in Indonesia. Of the several types have differences including the structure of the fruit, tree and leaves. The focus of this research is to classify guava species based on leaf bone image using GLCM feature extraction, minutiae and shape extraction using the K-NN method. In this study using a dataset of 4 types of guava as many as 300 images, where each type of as many as 75 images. In the extraction process to get the leaf bone image in this study, there are several processes, namely preprocessing, grayscale image, binary image and morphology then only get the leaf bone image. After getting the extracted value, then the data is processed using the K-NN method. The highest accuracy in the K-NN method is at k1 = 92.42% with a standard deviation of 6.05% (micro average: 92.45%). Thus GLCM feature extraction, minutiae and shape extraction can potentially increase the level of accuracy in guava classification based on leaf bone images.
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来源期刊
CiteScore
5.70
自引率
4.00%
发文量
77
期刊介绍: The European Journal of Development Research (EJDR) redefines and modernises what international development is, recognising the many schools of thought on what human development constitutes. It encourages debate between competing approaches to understanding global development and international social development. The journal is multidisciplinary and welcomes papers that are rooted in any mixture of fields including (but not limited to): development studies, international studies, social policy, sociology, politics, economics, anthropology, education, sustainability, business and management. EJDR explicitly links with development studies, being hosted by European Association of Development Institutes (EADI) and its various initiatives. As a double-blind peer-reviewed academic journal, we particularly welcome submissions that improve our conceptual understanding of international development processes, or submissions that propose policy and developmental tools by analysing empirical evidence, whether qualitative, quantitative, mixed methods or anecdotal (data use in the journal ranges broadly from narratives and transcripts, through ethnographic and mixed data, to quantitative and survey data). The research methods used in the journal''s articles make explicit the importance of empirical data and the critical interpretation of findings. Authors can use a mixture of theory and data analysis to expand the possibilities for global development. Submissions must be well-grounded in theory and must also indicate how their findings are relevant to development practitioners in the field and/or policy makers. The journal encourages papers which embody the highest quality standards, and which use an innovative approach. We urge authors who contemplate submitting their work to the EJDR to respond to research already published in this journal, as well as complementary journals and books. We take special efforts to include global voices, and notably voices from the global South. Queries about potential submissions to EJDR can be directed to the Editors. EJDR understands development to be an ongoing process that affects all communities, societies, states and regions: We therefore do not have a geographical bias, but wherever possible prospective authors should seek to highlight how their study has relevance to researchers and practitioners studying development in different environments. Although many of the papers we publish examine the challenges for developing countries, we recognize that there are important lessons to be derived from the experiences of regions in the developed world. The EJDR is print-published 6 times a year, in a mix of regular and special theme issues; accepted papers are published on an ongoing basis online. We accept submissions in English and French.
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