As the production speeds of factories increase, it becomes more and challenging to inspect products in real time. The goal this article is come up with a computationally efficient texture discrimination algorithm by first testing their ability localize defects then increase efficiency removing less effective parts them. Therefore, abilities most popular classification algorithms such as GLCM, L...

This Study proposes the approach for crop classification using Grey Level Co-occurrence Matrix feature of Synthetic Aperture Radar (SAR) images. The method utilizes SAR Images acquired by Sentinel 1A Data and extract textural features GLCM. In this study, we investigate potential (GLCM)-based texture information horticulture with images in Kharif cloud weather condition. A study on satellite im...

Monitoring of forests is important for the diagnosis insect damage to vegetation. Detection and monitoring damaged areas facilitates control pests practitioners. For this purpose, Unmanned Aerial Vehicles (UAVs) have been recently used detect areas. In order distinguish from healthy on UAV images, it necessary extract feature parameters images. Therefore, extraction an step in Computer Aided Di...

Sampah merupakan salah satu permasalahan global yang dihadapi seluruh dunia termasuk Indonesia. Apabila tidak dikelola dengan baik, jenis dan volume sampah semakin meningkat dapat berdampak buruk pada lingkungan kesehatan manusia. Pemilahan langkah awal dalam melakukan berbagai pengolahan sampah. secara manual mudah dilakukan mengingat jumlahnya amat besar, sehingga otomatisasi pemilahan diperl...

BACKGROUND Recent developments in molecular pathology and genetic/epigenetic analysis of cancer tissue have resulted in a marked increase in objective and measurable data. In comparison, the traditional morphological analysis approach to pathology diagnosis, which can connect these molecular data and clinical diagnosis, is still mostly subjective. Even though the advent and popularization of di...

Digital mammogram has become the most effective technique for early breast cancer detection modality. Digital mammogram takes an electronic image of the breast and stores it directly in a computer. The aim of this study is to develop an automated system for assisting the analysis of digital mammograms. Computer image processing techniques will be applied to enhance images and this is followed b...

This study aims to identify the condition of corn plants based on imagery leaf using gray level co-occurrence matrix (GLCM) method and artificial neural network (ANN) backpropagation. The GLCM is used for extracting features from image corn, whereas ANN backpropagation classification plant features. was done a dataset leaves with four conditions: healthy, spot, blight, rust. Next, are extracted...