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akifozgur

Config files for my GitHub profile.

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.

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.

computer-vision

data-science

data-structures

distracted-drivers-classification

Our project aims to address the problem of driver distraction by developing a machine learning model using computer vision techniques.

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.

machine-learning-algorithms

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.

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.