Pengelolaan Citra Digital ( Perbandingan Studi Kasus Antara Klasifikasi Warna Menggunakan Pengolahan Model Warna HSV Dan Penerapan Metode Konvolusi Dalam Pengolahan Citra Digital )

The research conducted by the researcher is to compare the Case Study of Color Classification Using Hsv Color Model Processing and the Application of Convolution Methods in Digital Image Processing, which later obtained different conclusions but one goal is effectiveness and efficiency in two different models of digital image management. The research method in this study uses descriptive qualitative methods where by comparing the research data obtained in two studies, namely Color Classification Using Hsv Color Model Processing and Application of Convolution Methods in Digital Image Processing. A more effective test result according to the author is using the Convolution method where Convolution provides a way to combine two arrays, usually for different array sizes, but for the same array dimensions, resulting in a third array that has the same dimensions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-31
DOI
https://doi.org/10.5281/zenodo.14272836
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Pengelolaan Citra Digital ( Perbandingan Studi Kasus Antara Klasifikasi Warna Menggunakan Pengolahan Model Warna HSV Dan Penerapan Metode Konvolusi Dalam Pengolahan Citra Digital )

Zenodo (CERN European Organization for Nuclear Research)
Computer Science and Engineering
article

Pengelolaan Citra Digital ( Perbandingan Studi Kasus Antara Klasifikasi Warna Menggunakan Pengolahan Model Warna HSV Dan Penerapan Metode Konvolusi Dalam Pengolahan Citra Digital )

article en

Abstract

The research conducted by the researcher is to compare the Case Study of Color Classification Using Hsv Color Model Processing and the Application of Convolution Methods in Digital Image Processing, which later obtained different conclusions but one goal is effectiveness and efficiency in two different models of digital image management. The research method in this study uses descriptive qualitative methods where by comparing the research data obtained in two studies, namely Color Classification Using Hsv Color Model Processing and Application of Convolution Methods in Digital Image Processing. A more effective test result according to the author is using the Convolution method where Convolution provides a way to combine two arrays, usually for different array sizes, but for the same array dimensions, resulting in a third array that has the same dimensions.

Zenodo (CERN European Organization for Nuclear Research)
University of Singaperbangsa Karawang (ID)
Openalex Percentile: Top 65%
Computer Science and Engineering
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