The medical image retrieval plays an important role in medical diagnosis where a physician
can retrieve most similar images from template images against a query image of a particular …

Local binary patterns of more bits extracted in a large structure have shown promising
results in visual recognition applications. This results in very high-dimensional data so that it …

Local binary pattern (LBP) and its variants have been widely used in many recognition tasks.
Subspace approaches are often applied to the LBP feature in order to remove unreliable …

This paper presents an improved local ternary pattern (LTP) for automatic target recognition
(ATR) in infrared imagery. Firstly, a robust LTP (RLTP) scheme is proposed to overcome the …

Local binary pattern (LBP) is sensitive to image noise. Noise-resistant LBP (NRLBP)
improves the robustness to noise by incorporating the prior knowledge of images and …

Face recognition under large illumination variations is challenging. Local binary pattern
(LBP) is robust to illumination variation, but sensitive to noise. Fuzzy LBP (FLBP) partially …

Looking for modification traces of digital media is of great value for forensic analysis. The
median filter can be used to remove the fingerprints left by other image operations, and the …

A new learning framework is proposed for multivariate chaotic system modeling. In order to
construct suitable input variables, we put forward a scheme of input variable selection based …

Geriatric health care has become a pressing task, and the first confronting issue is dietary
problem inseparable from life as the risks of various illnesses grow progressively with aging …

In recent years, the medical image retrieval play an important role in the field of medical
diagnosis. The primary goal is to retrieve accurate matching images from the database. In …