Medical image watermarking represents a promising alternative tool regarding many security aspects such: digital rights, authenticity and integrity content protection issues. Achieving successful should be achieved by choosing the most significant important patterns describing image. This strategy also ensure tradeoff between robustness of watermark against attacks computational time both for e...

Automatic license plate recognition (ALPR) is es-sential component of security and surveillance. ALPR mainly aims to detect prevent the crime fraud activities; it also plays an important role in traffic monitoring. An algorithm proposed for recognizing candidates. The work aimed recognize a car. Proposed designed multilevel more accurate License Plate (LP) recognition, At level 1 produced 93.5%...

A binary chain code for representing 3D curves is presented. 3D curves are digitalized and represented as 3D discrete curves. 3D discrete curves are composed of constant straight-line segments using only orthogonal directions. The proposed binary notation is based on the orthogonal direction change chain code. Thus, using the proposed binary chain code it is possible to represent any 3D curve b...

This paper proposes an image descriptor, Gabor Directional Binary Pattern (GDBP), for robust gaze estimation. In GDBP, Gabor magnitude information is extracted firstly from a cropped subimage. The local directional derivations are then utilized to encode the binary patterns in the given orientations. As an image descriptor, GDBP can suppress noises and robustness to illumination variations. Mea...

Recently spatial pyramid matching (SPM) with scale invariant feature transform (SIFT) descriptor has been successfully used in image classification. Unfortunately, the codebook generation and feature quantization procedures using SIFT feature have the high complexity both in time and space. To address this problem, in this paper, we propose an approach which combines local binary patterns (LBP)...

Building extraction in aerial orthophotos is crucial for various applications. Currently, deep learning has been shown to be successful in addressing building extraction with high accuracy and high robustness. However, quite a large number of samples is required in training a classifier when using deep learning model. In order to realize accurate and semi-interactive labelling, the performance ...