Research on Image Segmentation Algorithms

My main research direction focuses on image segmentation algorithms, where I am committed to exploring and enhancing the accuracy and efficiency of image segmentation. In this program, I utilize advanced neural network technologies that perform deep learning and feature extraction on images to achieve more precise segmentation results. The implementation employs convolutional neural networks (CNN) with encoder-decoder architecture, using layers like convolutional blocks for feature extraction and transposed convolutions for upsampling. Through these research experiments, I have gained deeper insights into image segmentation theories and methodologies, while providing robust support for applications in related fields. Moving forward, I will continue to investigate image segmentation algorithms, explore innovative approaches such as attention mechanisms and transformer architectures, and apply them to practical scenarios to make greater contributions to the fields of image processing and computer vision.