The semantic segmentation of robotic surgery video and the delineation instruments are important for enabling automation. Despite major recent progresses, majority latest deep learning models instrument detection rely on large datasets with ground truth labels. While demonstrating capability, reliance labelled data is a problem practical applications because systems would need to be re-trained ...

1106 | P a g e Abstract--Image processing plays an important role in medical field because of its capability. Particularly, image segmentation offer several guides in medical field for analyzing the captured image. Usually, the medical images are captured via different medical image acquisition techniques. The captured image may be affected by noise because of some faults in the capturing devis...

Natural image is one of the fundamental problems in image processing and Computer Vision. Image segmentation is the process of partitioning an image into multiple meaningful regions or sets of pixels with respect to a particular application. Image segmentation is a critical and essential component of image analysis system. In literature, there are many image segmentation techniques. One of the ...

In this paper, we present a new application of image segmentation algorithms and an adaptation of the image segmentation method of Tavakoli et al. to the problem of vegetation segmentation. While the traditional goal of image segmentation is to provide a figure/ground segmentation for object recognition or semantic segmentation to assist humans, we propose to use image segmentation in order to ...