Segmentation of Images with Tubular Features based on Tight-Frame Technique

Image segmentation is an important topic in the field of computer vision and image processing. It is also of major significance in the area of medical imaging. Segmenting medical images with thin tube-like structures is a major challenge. The model proposed in this paper can be used to obtain a desired segmented result from an image having vessel or tubular features. This model uses the concept of solving Mumford-Shah model to obtain a smooth image. This smoothened image is segmented using the idea of Tight-Frame-based Algorithm with Eigenvector (TFAE). This hybrid method gives better segmented results than that of TFAE method alone. The given model also works well with noised images. The proposed method has been implemented on images with and without noise. The result obtained by this method has been further compared with existing models.