This paper is a brief survey of advance technological aspects of Digital Image Processing
which are applied to remote sensing images obtained from various satellite sensors. In …

As a preprocessing step, image segmentation, which can do partition of an image into
different regions, plays an important role in computer vision, objects recognition, tracking …

In recent years, the acquisition of image and video information for processing, analysis,
understanding, and exploitation of the underlying content in various applications, ranging …

In the present study, we aim to propose an effective and robust ensemble-learning approach
with stacked generalization for image segmentation. Initially, the input images are processed …

Image segmentation is a method to extract regions of interest from an image. It remains a
fundamental problem in computer vision. The increasing diversity and the complexity of …

In this paper, a novel level set segmentation model integrating the intensity and texture
terms is proposed to segment complicated two-phase nature images. Firstly, an intensity …

Object-based image classification is recognized as one of the best strategies to analyze high
spatial resolution remote sensing images. This process includes defining scale parameters …

For diagnosing cardiovascular disease, an accurate segmentation method is needed. There
are several unresolved issues in the complex field of cardiac magnetic resonance imaging …

In the current era of digital communication, the use of images is growing exponentially since
they are one of the best ways of expressing, sharing and memorizing knowledge. In fact …

Remote sensing deals with high resolution of geospatial data. It work on the various fields
like agriculture, water resource, environment, forests, land use or land cover, ocean …