For hyperspectral target detection, it is usually the case that only part of the targets pixels can be used as target signatures, so can we use them to construct the most proper background subspace for detecting all the probable targets? In this paper, a dynamic subspace detection (DSD) method which establishes a multiple detection framework is proposed. In each detection procedure, blocks of p...

Deep learning is a powerful tool for labeling images in computer vision. We apply deep learning to select subgoals in the simulated game environment of Minecraft. Prior work showed that subgoal selection could be learned with off-the-shelf machine learning techniques and full state knowledge. We extend that work to learn subgoal selection from raw pixels. In a limited pilot study where a virtua...

In this paper, we present color image segmentation based on automatic seed pixel selection. First, the input RGB color image is transformed into HSVcolor space. Second, the initial seeds are automatically selected based on non-edge and smoothness at pixel’s neighbor as criterion. Third, the seed pixels are merged to form seed region if they are connected. Fourth, a seeded region growing method ...

The present paper is aimed at introducing a new algorithm for image encryption using chaotic tent maps and the desired key image. This algorithm consists of two parts, the first of which works in the frequency domain and the second, in the time domain. In the frequency domain, a desired key image is used, and a random number is generated, using the chaotic tent map, in order to change the phase...

A new version of an experimental system of an optoelectronic hybrid optical parallel array logic system is constructed. The experimental system is composed of a two-dimensional correlator with selectable holographic filters and parallel electronic circuits. The system can process images consisting of 3 × 3 pixels at a time. Several types of processing are achieved both without and with dynamic ...

The amount of information involved in hyperspectral imaging is large. Hyperspectral band selection is a popular method for reducing dimensionality. Several information based measures such as mutual information have been proposed to reduce information redundancy among spectral bands. Unfortunately, mutual information does not take into account the spatial dependency between adjacent pixels in im...

Ab..tract-The gray-level threshold selection method for im2 e segmen-tation presented here is based on the maximum entropy pri ciple. The optimal threshold value is determined by maximizing the , posteriori entropy subject to certain inequality constraints which are ,Ierived by means of special measures characterizing uniformity and the s 'ape of tbe Manu"cripl rcceivcd Novcmber 3. function h(x...

BACKGROUND Amyloid β-protein (Aβ) plaque deposition is an important prevention and treatment target for Alzheimer's disease (AD). As a noninvasive, nonradioactive and highly cost-effective clinical imaging method, magnetic resonance imaging (MRI) is the perfect imaging technology for the clinical diagnosis of AD, but it cannot display the plaque deposition directly. This paper resolves this pro...