The applicability of integrated Unmanned Aerial Vehicle (UAV)-photogrammetry and
automatic feature extraction for cadastral or property mapping was investigated in this …

In the field of image processing, edge detection of visual data is one of the most important
operations of image processing research. This operation is very useful in many applications …

In this paper, a novel edge detection technique which computes edges of different images
using the concept of Center of Mass (COM) with Robert Edge Detector (COM-ROBERT) …

Fuzzy C-Means (FCM) algorithm is one of the most commonly used image segmentation
algorithms. It has the advantages of unsupervised, easy calculation, soft segmentation and …

Edges of an image can be represented by applying various edge detectors with different
methodologies. Edge detection is a primary and very crucial part in image processing. In this …

Magnetic resonance imaging is an important modality in the diagnosis and pathology
detection. Edge detection is used for image segmentation and feature extraction as part of …

Analysis and Interpretation of contents and environments is one of the main objectives of the
computer vision field. This task is very necessary for various application domains, especially …

Edge detection of images is a very serious challenge to the researchers till date. Several
techniques can be implemented to detect the edges of different images. But a single edge …

Edges of an image can be represented by using various edge detectors with different
approaches. Edge detection is a very fundamental part in image processing and computer …

We can define an edge of an image as a set of connected pixels that creates boundaries of
several objects in an image. Generally, edge detection is a process of segmenting an image …