Pedestrian Detection Using Quaternion Gradient Based Weber Local Descriptor
نویسندگان
چکیده
منابع مشابه
Face Recognition with Name Using Local Weber‟s Law Descriptor
In Image processing face recognition plays an important role in various biometric applications. WLD (Weber’s Local Descriptor) will be used for face recognition. WLD is a texture descriptor that performs better than other similar descriptors but it is holistic due to its very construction. Image is divided into number of blocks and WLD is calculated for each block and then concatenate them. Thi...
متن کاملPedestrian Detection Using Global-Local Motion Patterns
of the Thesis Pedestrian Detection using Global-Local Motion Patterns by Dhiraj Goel Master of Science in Department of Electrical and Computer Engineering Carnegie Mellon University, Pittsburgh, 2007 Pedestrian detection is a popular research problem in the field of computer vision. It finds its applications in surveillance, fast automatic video browsing for pedestrians, activity monitoring et...
متن کاملAffine-Gradient Based Local Binary Pattern Descriptor for Texture Classification
We present a novel Affine-Gradient based Local Binary Pattern (AGLBP) descriptor for texture classification. It is very hard to describe complicated texture using single type information, such as Local Binary Pattern (LBP), which just utilizes the sign information of the difference between pixel and its local neighbors. Our descriptor has three characteristics: 1) In order to make full use of t...
متن کاملSpiking Cortical Model Based Multimodal Medical Image Fusion by Combining Entropy Information with Weber Local Descriptor
Multimodal medical image fusion (MIF) plays an important role in clinical diagnosis and therapy. Existing MIF methods tend to introduce artifacts, lead to loss of image details or produce low-contrast fused images. To address these problems, a novel spiking cortical model (SCM) based MIF method has been proposed in this paper. The proposed method can generate high-quality fused images using the...
متن کاملTwo Phase Non-Rigid Multi-Modal Image Registration Using Weber Local Descriptor-Based Similarity Metrics and Normalized Mutual Information
Non-rigid multi-modal image registration plays an important role in medical image processing and analysis. Existing image registration methods based on similarity metrics such as mutual information (MI) and sum of squared differences (SSD) cannot achieve either high registration accuracy or high registration efficiency. To address this problem, we propose a novel two phase non-rigid multi-modal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: 2169-3536
DOI: 10.1109/access.2021.3063294