Local binary pattern (LBP) is a simple, yet efficient coding model for extracting texture
features. To improve texture classification, this paper designs a median sampling regulation …

In this paper we propose a CNN classifier base on image bit-plane slicing. The purpose is to
improve recognition accuracy when we apply it to breast cancer images classification. Each …

Recently, the detection and segmentation of salient objects that attract the attention of
human visual in images is determined by using salient object detection (SOD) techniques …

Many variations of local binary pattern (LBP) were proposed to enhance its performance,
including uniform local binary pattern (ULBP), center-symmetric local binary patterns (CS …

Detecting human behaviours in images of crowded classroom scenes is a challenging task,
due to the large variations of humans in scale and pose perspective. In this paper, two …

Texture classification is one of the recently popular study topics in pattern recognition. Local
binary pattern (LBP) is a very efficient local texture descriptor and is used for feature …

In this article, new feature descriptor local bit plane adjacent neighborhood dissimilarity
pattern (LBPANDP) is introduced for CT image retrieval. In the proposed method, the input …

Local binary pattern (LBP) plays a crucial part in texture classification. Although plenty of
LBP-based methods for texture extraction have achieved good classification results, most …

For different applications, various handcrafted descriptors are reported in the literature. Their
results are satisfactory concerning the application they were proposed. Furthermore in the …

Since halftone images only have the values of 0 and 1, the amount of information that can be
used in the feature extraction process is relatively little. The existed feature extraction …