In this paper, we present an approach to color image understanding that can be used to
segment and analyze surfaces with color variations due to highlights and shading. The work …

In this paper, we propose an original approach in order to improve the results of color image
segmentation by pixel classification. We define a new kind of color space by selecting a set …

Image segmentation is a key stage in the detection of defects in images of wood surfaces.
While there are many segmentation algorithms, they can be broadly divided into two …

Many weed species have reddish stems, but stems of wheat and soybean are green. These
color features wereused in this study to establish a simple weed-detection method using a …

A crucial step in developing automated visual inspection systems for wood boards is image
segmentation, which aims to achieve a high defect detection rate with a low false positive …

This article presents improvements in the segmentation module, feature extraction module,
and the classification module of a low-cost automated visual inspection (AVI) system for …

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 …

Résumé Dans le cadre de l'analyse d'images de football, nous proposons une
methodologie originale de segmentation d'images couleur en regions qui exploite les …

Automated grading of lumber is attractive for the sawmill industry. Achieving better accuracy
of quality grading and control of quality variation in volume production easily improves the …

In this paper we address the issue of detecting defects in wood using features extracted from
grayscale images. The feature set proposed here is based on the concept of texture and it is …