As an interdisciplinary between quantum computing and image processing, quantum image
processing provides more possibilities for image processing due to the powerful parallel …

Quantum image processing is a system where both quantum computing and image
processings are key. Now it is required to investigate how to apply image processing …

为了提高最大2 维熵分割的性能, 提出了基于改进麻雀算法的最大2 维熵分割方法,
可减小运算量并且缩短计算时间. 首先, 融合反向学习策略和自适应t 分布变异, 引入精英粒子 …

Quantum steganography is a tool using which the very act of communication can be
concealed. To prevent steganography from being misused, the scheme of detection of least …

Nowadays, image analysis constitutes a key function of modern smart devices and computer
applications. In recent years, image analysis has made significant progress due to the …

The utilization of automated techniques for processing and analyzing medical images can
offer significant support to doctors in their diagnostic and therapeutic practices. This study …

Component Labeling, as a fundamental preprocessing task in image understanding and
pattern recognition, is an indispensable task in digital image processing. It has been proved …

With the development of quantum computing, the application of it to image processing has
lots of advantages compared to classical image processing. In this paper, we propose a …

Nowadays, the numerical segmentation is an important step in the processing and
interpretation of medical images. The segmentation consists in extracting, from the image …

The application of continuous-time quantum walk in the field of image segmentation has
attracted much attention due to the advantages of quantum computation. However, the …