Mehmet Akif Özgür's repositories
violence-video-classification
Violence detection technology aims to automatically identify instances of violence using advanced technologies like computer vision and machine learning. The motivation behind this technology is to prevent and respond to violent incidents effectively, enhance public safety, and enforce policies aimed at curbing violence.
distracted-drivers-classification
Our project aims to address the problem of driver distraction by developing a machine learning model using computer vision techniques.
akifozgur
Config files for my GitHub profile.
k-means-clustering-for-image-segmentation
The primary objectives of this Image Processing Lab Project are to investigate the efficacy of various feature extraction methods, such as RGB color features, spatial location information, mean color values, color histograms, and Gabor filter responses on image segmentation.
using-image-pyramid-for-image-blending
The objective of this assignment of the Image Processing Lab is to leverage the Laplacian pyramid technique as an effective method for seamlessly blending images.
cartoon-effect-to-colorful-images
In the context of the Image Processing Lab project, our objective was to impart a cartoon effect to vibrant images through the implementation of smoothing, edge detection, and quantization algorithms.
BrainCTImageStrokeDetection-Segmentation
This project firstly aims to classify brain CT images using convolutional neural networks. In the second stage, the task is segmentation with Unet.