Effect of Features and Angle on GLCM Feature Extraction on Accuracy for Object Classification

An autonomous car is a vehicle that can guide itself without human intervention. Various types of steeringless vehicles are being developed. The system the future where computers take over art driving. problem was before it became concern in cars to get high safety. Autonomous need an early warning avoid accidents front car, especially systems be used on highway locations. In this paper, we propose vision-based detection for form cars. Our algorithm consists two main components: Extraction color features using GLCM values, and testing 6 parameters dissimilarity, correlation, homogeneity, contrast, ASM energy. We use SVM (Support Vector Machine) classification algorithm. previous studies has had quite good results fast computation time. Good accuracy found feature angle 450