Color texture classification is an important step in image segmentation and recognition. The
color information is especially important in textures of natural scenes, such as leaves …

Color texture classification has recently attracted significant attention due to its multiple
applications. The color texture images depend on the texture surface and its albedo, the …

This work presents a novel methodology for the quality assessment of material extrusion
parts through AI-based Computer Vision. To this end, different techniques are integrated …

Convolutional Neural Networks (CNN) have brought spectacular improvements in several
fields of machine vision including object, scene and face recognition. Nonetheless, the …

Abstract Content Based Image Retrieval (CBIR) is an important step in addressing image
storage and management problems. Latest image technology improvements along with the …

This paper introduces computer vision systems (CVSs), which provides a new method to
measure gem colour, and compares CVS and colourimeter (CM) measurements of jadeite …

In this paper we consider the problem of colour-based sorting hardwood parquet slabs into
lots of similar visual appearance. As a basis for the development of an expert system to …

Texture analysis is a subject of intensive focus in research due to its significant role in the
field of image processing. However, few studies focus on colored texture analysis and even …

A new method based on complex networks is proposed for color–texture analysis. The
proposal consists of modeling the image as a multilayer complex network where each color …

In this paper, we propose a Local Binary Pattern (LBP) histogram selection approach. It
consists in assigning to each histogram a score which measures its efficiency to characterize …