Histopathological analysis is important for detection of the breast cancer (BC). Computer-aided diagnosis and systems are developed to assist radiologist in process relieve patient from unnecessary pain. In this study, a computer-aided system early benign malignant proposed. The proposed consists feature extraction, ensemble, classification stages. Various preprocessing steps such as grayscale ...

With the increasing availability of low-cost – yet precise – depth cameras, “texture+depth” content has become more and more popular in several computer vision and 3D rendering tasks. Indeed, depth images bring enriched geometrical information about the scene which would be hard and often impossible to estimate from conventional texture pictures. In this paper, we investigate how the geometric ...

The most important bottleneck for facial expression recognition system is recognizing the expression in uncontrolled environments with minimum computational time consumption. This problem has been addressed by combining the robust local texture descriptors which are invariant to illumination effects. In this work, the illumination effects are eliminated by using Weber Local Descriptor (WLD). Ne...

With the rapid development of fast data acquisition techniques, 3D scans that record the geometric and photometric information of deformable objects are routinely acquired nowadays. To track surfaces in temporal domain or stitch partially-overlapping scans to form a complete model in spatial domain, robust and efficient feature detection for deformable shape correspondences, as an enabling meth...

The proposal of this study is to analyze the texture pattern recognition over the local jet space looking forward to improve the texture characterization. Local jets decompose the image based on partial derivatives allowing the texture feature extraction be exploited in different levels of geometrical structures. Each local jet component evidences a different local pattern, such as, flat region...

Fourier Coefficients have long been used to achieve invariance to signal transformations. In this paper we propose a Global Rotation Invariant Descriptor (GRID) for matching images based on the Discrete Fourier Transform (DFT). Following the analysis of the sampling criteria for generating such descriptors, it is shown that the descriptor can be made invariant to changes in scale as well under ...

In forensics latent fingerprint identification is critical importance to identifying suspects: latent fingerprints are invisible fingerprint impressions left by fingers on surfaces of objects. The proposed algorithm uses a robust alignment algorithm (mixture contour and Orientation based Descriptor) to align fingerprints and to get the similarity score between fingerprints by considering minuti...

We present three descriptors of texture feature of a region. Namely, the homogeneous texture descriptor (HTD), the edge histogram descriptor (EHD), and the perceptual browsing descriptor (PBD). They are currently included in the Committee Draft of the MPEG-7 Visual (ISO/IEC 15938-3). Each descriptor has a unique functionality and application domain. HTD and EHD describe statistical distribution...

This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fisher separation criteria (FSC) to learn most reliable and robust dominant pattern types considering intraclass similarity and inter-class distance. Image structures are thus be described by a new FSC-based learning (FBL) encoding...

In this article, we develop a novel method for the detection of vineyard parcels in agricultural landscapes based on very high resolution (VHR) optical remote sensing images. Our objective is to perform texture-based image retrieval and supervised classification algorithms. To do that, the local textural and structural features inside each image are taken into account to measure its similarity ...