CaDIS: Cataract dataset for surgical RGB-image segmentation

RGB Histogram based Color Image Segmentation Using Firefly Algorithm

In this paper, optimal multi-level image segmentation is proposed using the Firefly Algorithm (FA). In this work, RGB histogram of the image is considered for bi-level and multi-level segmentation. Optimal thresholds for each colour component are attained by maximizing Otsu’s between-class variance function. The proposed segmentation procedure is demonstrated using standard RGB dataset and vali...

Image Segmentation Using RGB Decomposition and Modified Bacterial Foraging Optimization

Color Image Segmentation Using K-means Classification on Rgb Histogram

-The paper presents the approach of Color Image Segmentation Using k-means Classification on RGB Histogram. The kmeans is an iterative and an unsupervised method. The existing algorithms are accurate, but missing the locality information and required high-speed computerized machines to run the segmentation algorithms. The proposed method is content-aware and feature extraction method, which is ...

Background Segmentation Beyond RGB

To efficiently classify and track video objects in a surveillance application, it is essential to reduce the amount of streaming data. One solution is to segment the video into background, i.e. stationary objects, and foreground, i.e. moving objects, and then discard the background. One such motion segmentation algorithm that has proven reliable is the Stauffer and Grimson algorithm. This paper...

Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling

In image-guided surgery, a new generation of Computer-Assisted-Surgical (CAS) systems based on information from the Operating Room (OR) has recently been developed to improve situation awareness in the OR. Our main project is to develop an application-dependant framework able to extract high-level tasks (surgical phases) using microscope videos data only. In this paper, we present two methods: ...