Comparative Study of Herbal Leaves Classification using Hybrid of GLCM-SVM and GLCM-CNN
Indonesia is a tropical country with a diverse range of plants that ancient people used for traditional medicines. However, the similarity in shape of the leaves became an obstacle to distinguishing them. Therefore, technological advancements are expected to help identify the herbal leaves to use them right on target according to their efficacy.
Purnawansyah Purnawansyah +6 more
openaire +3 more sources
Using Texture Feature in Fruit Classification [PDF]
Recent advances in computer vision have allowed wide-ranging applications in every area of life. One such area of application is the classification of fresh products, but the classification of fruits and vegetables has proven to be a complex problem and ...
Mauj H. Abd al karim, Abdulamir A. Karim
doaj +1 more source
Deteksi Dini Serangan Hama Penyakit pada Cabai Rawit Menggunakan Metode Image Recognition
Tanaman cabai merupakan salah satu komoditas sayuran yang memiliki nilai ekonomi tinggi serta berpotensi untuk terus dikembangkan. Kendati demikian, produksi tanaman cabai tersebut sering mengalami hambatan, salah satunya karena serangan hama dan ...
Suci Fitri Nazila +4 more
doaj +1 more source
شناسایی و پهنهبندی مناطق مستعد زمینلغزش با استفاده از روش شیءگرا و تحلیل شبکه (ANP) (مطالعه موردی: حوضه آبریز شاهرودچایی شهرستان خلخال) [PDF]
حرکتهای دامنهای بهویژه زمینلغزش در زمره پرخطرترین و زیانبارترین مخاطرات محیطی است که در دهههای اخیر شتاب فزایندهای یافته است. پژوهش حاضر با هدف ارزیابی میزان کارایی تکنیک پردازش شیءگرای تصاویر ماهوارهای سنتینل 2A در شناسایی، آشکارسازی و پهنهبندی
سیران بهمنی +3 more
doaj +1 more source
An efficient implementation of GLCM algorithm in FPGA [PDF]
This paper presents hardware (HW) architecture for fast parallel computation of Gray Level Co-occurrence Matrix (GLCM) in high throughput image analysis applications. GLCM has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the GLCM help understand the details about the overall image content.
Mohamed Amin Ben Atitallah +3 more
openaire +2 more sources
Offline handwritten signature verification using various Machine Learning Algorithms [PDF]
In today’s world it is necessary to protect one’s authenticity in order to ensure the protection of personal information that only the authenticate credentials of a person can have access to.
Lokare Chinmay +4 more
doaj +1 more source
FUNDUS IMAGE CLASSIFICATION USING HYBRIDIZED GLCM FEATURES AND WAVELET FEATURES
We find the usefulness of computers in every field including medical field. Scanning the affected part has become a standard study. Diagnosing a disease at the right time, i.e. early detection, from the study of images enables the physician to take right
T Shanthi +5 more
doaj +1 more source
Pneumonia Classification Based on GLCM Features Extraction using K-Nearest Neighbor
Pneumonia has been detected using Machine learning. The stages in this study began with preprocessing in 4 stages: resizing, cropping, filtering using a high pass filter, and Adaptive Histogram Equalization.
Suharyana Suharyana +5 more
doaj +1 more source
Indonesia is a country that has a diversity of animal species with the top 10 predicate in the world. The population of animal species, including starlings, is very widely known in the country.
Aviv Yuniar Rahman +3 more
doaj +1 more source
Improving the Accuracy in Lung Cancer Detection Using NN Classifier [PDF]
Lung cancer is a leading cause of cancer-related deaths worldwide, with a high mortality rate and a significant economic burden on health care systems. Traditional screening methods, such as X-rays and CT scans, have limitations in terms of accuracy and ...
M.K. Linga Murthy +7 more
doaj +1 more source

