Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …

A fast and efficient approach for color image segmentation is proposed. In this work, a new
quantization technique for HSV color space is implemented to generate a color histogram …

As research advances in computing technology continue to accelerate, so too do the
emerging opportunities, issues, and challenges facing individuals, organizations, and …

Image segmentation is a crucial step within the remote sensing information retrieval chain.
As a step prior classification the quality of the segmentation result is of fundamental …

Intravascular ultrasound (IVUS) constitutes a valuable technique for the diagnosis of
coronary atherosclerosis. The detection of lumen and media-adventitia borders in IVUS …

An automatic object extraction method is proposed exploiting the rich mathematical structure
of quantum mechanics. First, a novel segmentation method based on the solutions of …

Scene segmentation is a well-known problem in computer vision traditionally tackled by
exploiting only the color information from a single scene view. Recent hardware and …

In this paper, a gaze-based Relevance Feedback (RF) approach to region-based image
retrieval is presented. Fundamental idea of the proposed method comprises the iterative …

This paper presents a robust and efficient method for segmentation of images into large
regions that reflect the real world objects present in the scene. We propose an extension to …