Color Image Processing: Methods and Applications embraces two decades of extraordinary
growth in the technologies and applications for color image processing. The book offers …

In many current face-recognition (FR) applications, such as video surveillance security and
content annotation in a web environment, low-resolution faces are commonly encountered …

In many of the computer vision applications, color-to-grayscale conversion algorithms are
required to preserve the salient features of the color images, such as brightness, contrast …

This paper presents learning the uncorrelated color space (UCS), the independent color
space (ICS), and the discriminating color space (DCS) for face recognition. The new color …

Recent research efforts reveal that color may provide useful information for face recognition.
For different visual tasks, the choice of a color space is generally different. How can a color …

This paper presents a novel independent component analysis (ICA) color space method for
pattern recognition. The novelty of the ICA color space method is twofold: 1) deriving …

There are several methods to recognize and reconstruct a human face image. The principal
component analysis (PCA) is a successful approach because of its effective extraction of the …

Face color information can play an important role in face recognition (FR) and it can be used
to considerably improve FR performance obtained using only grayscale images. The color …

Sea target detection is a vital application for military and navigation purposes. A new
supervised clustering method based on the combination of the PSO and FCM techniques is …

This paper explores the extraction of features from color imagery for recognition tasks,
especially face recognition. The well-known Gabor filter, which is typically defined as a …