This paper presents a survey of blob detection methods which has been applied on image
processing with relation of medical images proposed by literature.“The blob detection is a …

Image retrieval is an important problem for researchers in computer vision and content-
based image retrieval (CBIR) fields. Over the last decades, many image retrieval systems …

Image classification is an image grouping based on similarities features. The features
extraction stage is a crucial factor for classifying an image. In the conventional image …

Feature detection in color images frequently consists in image conversion from color to
grayscale and then one of grayscale detectors application. This approach has a few …

In this paper we propose a novel approach to measuring curvature in color or vector-valued
images (up to 4-dimensions) based on quaternion singular value decomposition of a …

The paper presents a technique and a system that can be used to smoothly dock a
differential drive mobile robot. The system consists of only a robot, a RGBD camera, and a …

Usually, state-of-the-art interest point detectors tend to over-represent the local image
structures associating several interest points for each local image structure. This fact avoids …

This paper presents a novel human body parts segmentation method using Laws texture
energy measures with skin color in YCbCr. The proposed segmentation is used in the …

Optical character recognition systems have been effectively developed for the recognition of
printed characters. Optical character recognition is an awesome computer vision technique …

We derive herein first and second-order differential operators for detecting structure in
diffusion tensor MRI (DTI). Unlike existing methods, we are able to generate full first and …