One of the most important problems in color image analysis is segmentation. This chapter
considers color uniformity as a relevant criterion to partition an image into significant …

Genetic dominance in polymorphic loci may respond to selection; however, the evolution of
dominance in complex traits remains a puzzle. We analyse dominance at a wing-patterning …

The Hough transform, interpreted as the discretization of the Radon transform, is a widely
used tool in image processing and machine vision. The primary way to speed it up is to …

Color information of natural images can be considered as a highly correlated vector space.
Many different color spaces have been proposed in the literature with different motivations …

The construction of perceptually uniform color space is an important task of color theory.
Many image processing applications requires the color difference to replicate human …

The segmentation of a single material reflectance is a challenging problem due to the
considerable variation in image measurements caused by the geometry of the object …

Color discrimination simulation is applied to study a uniformity of the color space of machine
vision devices whose operation is based on a three-component color model and which …

In this paper, we present a new color image segmentation scheme based on unsupervised
pixel classification that works even when there is not a one-to-one correspondence between …

From the birth of multi-spectral imaging techniques, there has been a tendency to consider
and process this new type of data as a set of parallel gray-scale images, instead of an …

Keypoint detection is an important tool of image analysis, and among many contemporary
keypoint detection algorithms YAPE is known for its computational performance, allowing its …