Image and Video Processing Toolkit (VTB4matlab)

In the field of image and video processing, MATLAB stands as one of the most widely utilized platforms. Recently, a toolkit named VTB4matlab has been released, providing specialized image and video processing capabilities for MATLAB environments. This toolkit incorporates numerous practical code implementations and functions that assist professionals in handling image and video data more effectively. The package includes fundamental processing functions such as read/write operations for various image and video formats (using imread/videoReader functions), filtering techniques (including Gaussian, median, and custom kernel filters), transformation methods (FFT, DCT, wavelet transforms), and feature extraction algorithms (SIFT, HOG, SURF descriptors). Additionally, VTB4matlab incorporates advanced computer vision capabilities including multi-object tracking using Kalman filters or correlation filters, object detection and recognition through machine learning approaches (like Haar cascades or deep learning models), and stereo vision implementations for depth perception and 3D reconstruction. For those seeking to deepen their understanding of image and video processing techniques, VTB4matlab serves as an indispensable resource with well-documented code examples and modular function designs.