ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES
In oil quality monitoring, digital imagery has become an essential tool. With the advancement of technology, digital imagery can be used to visualize oil samples and perform analysis quickly and accurately. However, effective image processing techniques are needed to generate useful information from...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2025-04-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15787 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849770765391495168 |
|---|---|
| author | Indah Purnama Sari Zainal Azis Ahmad Riady Hasibuan |
| author_facet | Indah Purnama Sari Zainal Azis Ahmad Riady Hasibuan |
| author_sort | Indah Purnama Sari |
| collection | DOAJ |
| description | In oil quality monitoring, digital imagery has become an essential tool. With the advancement of technology, digital imagery can be used to visualize oil samples and perform analysis quickly and accurately. However, effective image processing techniques are needed to generate useful information from digital images. The main problem faced in fuel quality evaluation is the inaccuracy and inconsistency of manual methods. Manual methods often require expensive equipment and trained workers and are prone to human error. Therefore, a more efficient and accurate method is needed. Morphological and histogram techniques on digital images offer a potential solution to this problem. One of the common techniques used in image processing is morphological techniques, which involve mathematical operations on images to change or describe certain image features. This technique can help identify important structures and patterns in Ron 92 oil images, such as quality and cleanliness. In addition, histograms are helpful statistical tools in image analysis, which represent the distribution of pixel intensities in an image. Histogram analysis can provide insight into the distribution of pixel intensity values in an oil image, which is relevant to the quality and homogeneity of the oil. |
| format | Article |
| id | doaj-art-8e146a2c7bee42699f20799f7ea5d31d |
| institution | DOAJ |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-8e146a2c7bee42699f20799f7ea5d31d2025-08-20T03:02:54ZengUniversitas PattimuraBarekeng1978-72272615-30172025-04-011921341135210.30598/barekengvol19iss2pp1341-135215787ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUESIndah Purnama Sari0Zainal Azis1Ahmad Riady Hasibuan2Department of Information Technology, Faculty of Computer Science and Information Technology, Universitas Muhammadiyah Sumatera Utara, IndonesiaDepartment of Mathematics Education, Faculty of Teacher Training and Education, Universitas Muhammadiyah Sumatera Utara, IndonesiaElementary School Teacher Education, Faculty of Teacher Training and Education, Universitas Muhammadiyah Sumatera Utara, IndonesiaIn oil quality monitoring, digital imagery has become an essential tool. With the advancement of technology, digital imagery can be used to visualize oil samples and perform analysis quickly and accurately. However, effective image processing techniques are needed to generate useful information from digital images. The main problem faced in fuel quality evaluation is the inaccuracy and inconsistency of manual methods. Manual methods often require expensive equipment and trained workers and are prone to human error. Therefore, a more efficient and accurate method is needed. Morphological and histogram techniques on digital images offer a potential solution to this problem. One of the common techniques used in image processing is morphological techniques, which involve mathematical operations on images to change or describe certain image features. This technique can help identify important structures and patterns in Ron 92 oil images, such as quality and cleanliness. In addition, histograms are helpful statistical tools in image analysis, which represent the distribution of pixel intensities in an image. Histogram analysis can provide insight into the distribution of pixel intensity values in an oil image, which is relevant to the quality and homogeneity of the oil.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15787digital imagehistogrammorphology |
| spellingShingle | Indah Purnama Sari Zainal Azis Ahmad Riady Hasibuan ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES Barekeng digital image histogram morphology |
| title | ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES |
| title_full | ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES |
| title_fullStr | ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES |
| title_full_unstemmed | ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES |
| title_short | ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES |
| title_sort | analysis of ron 92 oil based on morphology and histogram techniques |
| topic | digital image histogram morphology |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15787 |
| work_keys_str_mv | AT indahpurnamasari analysisofron92oilbasedonmorphologyandhistogramtechniques AT zainalazis analysisofron92oilbasedonmorphologyandhistogramtechniques AT ahmadriadyhasibuan analysisofron92oilbasedonmorphologyandhistogramtechniques |