Aims & Scope

Open Journal of Image Processing and Computer Vision is a scholarly publication that focuses on research and advancements in the fields of image processing and computer vision. It aims to disseminate high-quality, peer-reviewed articles that cover various topics such as image analysis, computer vision algorithms, machine learning applications, and emerging technologies in visual information processing. The journal serves as a platform for researchers and professionals to share their findings, promote innovative methodologies, and discuss challenges in the domain. By showcasing a blend of theoretical and practical contributions, it contributes to the ongoing development and application of techniques in image processing and computer vision.

The topics related to this journal include but are not limited to:

1. Image Segmentation
2. Object Detection
3. Feature Extraction
4. Machine Learning
5. Deep Learning
6. Image Classification
7. Image Enhancement
8. Convolutional Neural Networks (CNNs)
9. Optical Flow
10. Image Filtering
11. 3D Reconstruction
12. Pattern Recognition
13. Computer Vision Algorithms
14. Video Analysis
15. Scene Understanding
16. Augmented Reality
17. Image Restoration
18. Face Recognition
19. Image Compression
20. Visual SLAM (Simultaneous Localization and Mapping)