16 citations · 20 across the 5 of their papers we have counts for
3 papers · 1 filter
The object detection model uses combined extraction with KNN and RF classification
Florentina Tatrin Kurniati, Daniel HF Manongga, Irwan Sembiring +2
Object detection plays an important role in various fields. Developing detection models for 2D objects that experience rotation and texture variations is a challenge. In this resea…
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning
Florentina Tatrin Kurniati, Daniel HF Manongga, Eko Sediyono +2
In the era of modern technology, object detection using the Gray Level Co-occurrence Matrix (GLCM) extraction method plays a crucial role in object recognition processes. It finds…
Object Classification Model Using Ensemble Learning with Gray-Level Co-Occurrence Matrix and Histogram Extraction
Florentina Tatrin Kurniati, Daniel HF Manongga, Eko Sediyono +2
In the field of object classification, identification based on object variations is a challenge in itself. Variations include shape, size, color, and texture, these can cause probl…