Facial Recognition in Hexagonal Domain-A Frontier Approach

Onur Osman

Many face-recognition (FR) methods have been proposed thus far. Although FR has achieved wisdom in square pixel-based image processing (SIP) due to many studies, this wisdom has not been transferred to Hexagonal pixel-based image processing (HIP) until now. This study presents HIP versions of the most basic texture extraction studies in SIP, namely Gray-Level-Co-occurrence-Matrices (GLCM), Local Binary Pattern (LBP), and our recent work, local-holistic graph-based descriptor (LHGPD). The images are first transformed from the SIP domain to the HIP domain. The HIP domain equivalences (HexGLCM, H ...Daha fazlası

Makale 2023 IEEE ACCESS 11 , pp. 4 - 46591 34 Görüntülenme

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Morphology for hexagonal image processing: a comprehensive simulation analysis

Sajjad Nematzadeh

Morphological operators for binary and grayscale images are commonly used to eliminate noise, recognize contours or specific structures, and arrange shapes in image processing for physiological modeling and biomechanics applications. Even though morphology has been substantially developed in square-pixel- based-image-processing (SIP), no effort has been made to construct morpho- logical operators in hexagonal-pixel-based-image-processing (HIP) yet. In this paper, we transform basic SIP-domain-morphological operators such as dilation, erosion, closing, and opening into HIP-domain and compare th ...Daha fazlası

Makale 2024 IAES International Journal of Artificial Intelligence 3 Görüntülenme