Lab Image and Field Image Contrast Quality Differentiation
Elmaliana Albahari1, Hizmawati Madzin2, Rahmita Wirza O.K. Rahmat3, Mas Rina Mustaffa4, Mohamad Roff Mohd Noor5
1Elmaliana Albahari*, Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Persiaran, UPM Serdang, Selangor.
2Hizmawati Madzin, Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Persiaran UPM Serdang, Selangor.
3Rahmita Wirza O.K. Rahmat, Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Persiaran UPM Serdang, Selangor.
4Mas Rina Mustaffa, Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Persiaran UPM Serdang, Selangor.
5Mohamad Roff Mohd Noor, Malaysia Agriculture Research and Development Institute, MARDI Head Quarters, Persiaran MARDI-UPM, Serdang, Selangor.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 23, 2019. | Manuscript published on January 10, 2020. | PP: 3428-3431 | Volume-9 Issue-3, January 2020. | Retrieval Number: C9240919320/2020©BEIESP | DOI: 10.35940/ijitee.C9240.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image processing performance can be improved with the process of resizing the original input image to one standard size. Most of the previous studies used a standard size of 256 x 256 to provide the image as the image pre-processing material. The result of different image size dimension are shows in this research to proven that image resizing is important. Reducing image dimension size can help to improve system performance. At the same time, it is importance to keep the image quality. This study shows that by reducing image dimension, it can improve the computer or system performance more than 95%. Image quality can be measured to get helpful information for the study after resizing the image into the same standard size. In this study, measurement of contrast levels was taken to compare the quality differences between image labs and field images. It turns out that the quality of lab image produces high-quality images with good brightness over image field image.The best quality image is the images that have low contrast. Therefore in this research paper we used CLAHE method to enhance the contrast and brightness for field image.
Keywords: Contrast, Clahe, Image Quality
Scope of the Article: Image analysis and Processing