Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …

Local binary pattern (LBP) is widely adopted for efficient image feature description and
simplicity. To describe the color images, it is required to combine the LBPs from each …

In this paper, we present a novel rotation-invariant and computationally efficient texture
descriptor called Dominant Rotated Local Binary Pattern (DRLBP). A rotation invariance is …

Automatic traffic sign detection and recognition play crucial roles in several expert systems
such as driver assistance and autonomous driving systems. In this work, novel approaches …

In this research, we propose a facial expression recognition system with a variant of
evolutionary firefly algorithm for feature optimization. First of all, a modified Local Binary …

It is a challenging task to recognize smoke from visual scenes due to large variations in the
color, texture, shapes of smoke. To improve detection accuracy, we propose a novel feature …

Texture is a prominent feature of image and very useful in feature extraction for image
retrieval application. Statistical and structural patterns have been proposed for image …

Human iris is considered a reliable and accurate modality for biometric recognition due to its
unique texture information. However, similar to other biometric modalities, iris recognition …

This paper is devoted to the problem of texture classification. Motivated by recent
advancements in the field of compressive sensing and keypoints descriptors, a set of novel …

In this paper, hybrid chromosome genetic algorithm is applied to establishing the real-time
classification model for surface defects in a large-scale strip steel image collection. After …