Computer Optics最新文献_第6页

An adaptive image steganography algorithm based on the use of non-cryptographic hash functions for data extraction 基于使用非加密哈希函数进行数据提取的自适应图像隐写算法

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Computer Optics Pub Date : 2023-06-01 DOI: 10.18287/2412-6179-co-1215

М.А. Dryuchenko

引用次数: 0

Subcarrier wave continuous-variable quantum key distribution with Gaussian modulation: composable security analysis 高斯调制的子载波连续变量量子密钥分发:可组合安全性分析

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Computer Optics Pub Date : 2023-06-01 DOI: 10.18287/2412-6179-co-1225

R. Goncharov, A. Kiselev, E. Samsonov, V. Egorov

引用次数: 0

An approach to segmentation of a solid focal lesion in breast and its peripheral areas in ultrasound images 超声图像中乳腺实体病灶及其周围区域的分割方法

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Computer Optics Pub Date : 2023-06-01 DOI: 10.18287/2412-6179-co-1234

D. Pasynkov, А.А. Kolchev, I. Egoshin, I.V. Klioushkin, О.О. Pasynkova

{"title":"An approach to segmentation of a solid focal lesion in breast and its peripheral areas in ultrasound images","authors":"D. Pasynkov, А.А. Kolchev, I. Egoshin, I.V. Klioushkin, О.О. Pasynkova","doi":"10.18287/2412-6179-co-1234","DOIUrl":"https://doi.org/10.18287/2412-6179-co-1234","url":null,"abstract":"The paper proposes an approach to the segmentation of solid breast lesions and their peripheral areas in ultrasound images. It is noted that identifying the outermost breast lesion structures is an important step for the further lesion classification, directly affecting the final classification of its type. The main feature of the proposed approach is that its implementation takes into account peculiarities of pixel brightness variations in the original image, without using speckle noise filters. The method was tested on a set of ultrasound images of morphologically verified 42 benign and 49 malignant breast lesions marked by a radiologist. The segmentation results were compared with the results of manual marking performed by the radiologist. The average errors in the segmentation of benign and malignant lesion were 5 pixels – for the lesion area and 7 pixels – for the peripheral area, which is insignificant, taking into account the error of manual marking performed by radiologist (3.9 and 4.7 pixels, respectively). The average intersection-over-union (IoU) metrics were 0.82 and 0.80, respectively. The presented results indicate the possibility of using the developed technology in a combination with the system of lesion differentiation.","PeriodicalId":46692,"journal":{"name":"Computer Optics","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90199049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Concept of a photon spatial switch based on an off-axis zone plate: experimental confirmation in the millimeter waves range 基于离轴带板的光子空间开关的概念:毫米波范围内的实验验证

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Computer Optics Pub Date : 2023-04-01 DOI: 10.18287/2412-6179-co-1210

A. G. Paulish, I. Minin, O. Minin

引用次数: 0

New method for detecting and removing random-valued impulse noise from images 一种检测和去除图像随机脉冲噪声的新方法

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Computer Optics Pub Date : 2023-04-01 DOI: 10.18287/2412-6179-co-1145

P. Lyakhov, A. Orazaev

{"title":"New method for detecting and removing random-valued impulse noise from images","authors":"P. Lyakhov, A. Orazaev","doi":"10.18287/2412-6179-co-1145","DOIUrl":"https://doi.org/10.18287/2412-6179-co-1145","url":null,"abstract":"The paper proposes a method for detecting and removing impulse noise in images, which determines the similarity between pixels by distance and the difference in brightness values in the local detector window. An impulse noise model is considered, where distorted pixels take random values and also randomly appear in the image. Pixels identified as pulses are recovered with an adaptive median filter. The impulses are determined in the detector window, whose size is calculated in the Euclidean metric and increases with increasing noise intensity in the image. In the experimental part, we discuss visual differences between familiar methods and the one proposed herein on three images for three different impulse noise intensities. In the approximation of image fragments, it is seen that the proposed method copes with the task in the best way, which is also confirmed by numerical estimates of the quality of image reconstruction from impulse noise based on the peak signal-to-noise ratio and the structural similarity index. The proposed method can be used when solving problems of cleaning images under conditions of distorting impulses and for eliminating distortions caused by adverse weather effects, such as raindrops and snow.","PeriodicalId":46692,"journal":{"name":"Computer Optics","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85204347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of generative adversarial neural networks for the formation of databases in scanning tunneling microscopy 生成对抗神经网络在扫描隧道显微镜数据库形成中的应用

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Computer Optics Pub Date : 2023-04-01 DOI: 10.18287/2412-6179-co-1144

T. Shelkovnikova, S. Egorov, P. Gulyaev

{"title":"Application of generative adversarial neural networks for the formation of databases in scanning tunneling microscopy","authors":"T. Shelkovnikova, S. Egorov, P. Gulyaev","doi":"10.18287/2412-6179-co-1144","DOIUrl":"https://doi.org/10.18287/2412-6179-co-1144","url":null,"abstract":"We discuss the development of a technique for automatic generation of databases of images obtained with a scanning tunneling microscope. An analysis of state-of-the-art methods and means of automatic processing of images obtained from probe and electron microscopes is carried out. We proposed using generative-adversarial networks for generating images taken with a scanning tunneling microscope to form training databases of images. A process of training and comparison of deep convolutional generative adversarial network (DCGAN) architectures using the OpenCV and Keras libraries together with TensorFlow is described, with the best of them identified by computing the metrics IS, FID, and KID. The scaling of images obtained from DCGAN is performed using a method of fine tuning of a super-resolution generative adversarial neural network (SRGAN) and bilinear interpolation based on the Python programming language. An analysis of calculated quantitative metrics values shows that the best results of image generation are obtained using DCGAN96 and SRGAN. It is found that FID and KID metric values for SRGAN method are better than values for bilinear interpolation in all cases except for DCGAN32. All calculations are performed on a GTX GeForce 1070 video card. A method for automatic generation of a scanning tunneling microscope image database based on the stepwise application of DCGAN and SRGAN is developed. Results of generation and comparison of the original image, the one obtained with DCGAN96 and the enlarged image with SRGAN are presented.","PeriodicalId":46692,"journal":{"name":"Computer Optics","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74983200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

High-Q tunable Fano resonances in the curved waveguide resonator with mirrors with spatially variable reflectivity 具有空间可变反射率反射镜的弯曲波导谐振腔中的高q可调谐法诺共振

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Computer Optics Pub Date : 2023-04-01 DOI: 10.18287/2412-6179-co-1183

A. V. Dyshlyuk, O. Vitrik

引用次数: 0

Determining the error in measuring the spherical concave mirror radius of curvature with a laser rangefinder 用激光测距仪测量球面凹面镜曲率半径误差的确定

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Computer Optics Pub Date : 2023-04-01 DOI: 10.18287/2412-6179-co-1197

A. Sakharov, I. V. Zhivotovsky, V. Karasik, A. Patrikeeva

引用次数: 0

Evaluation of the effectiveness of the decision support algorithm for physicians in retinal dystrophy using machine learning methods 使用机器学习方法评估视网膜营养不良医师决策支持算法的有效性

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Computer Optics Pub Date : 2023-04-01 DOI: 10.18287/2412-6179-co-1124

A. Zhdanov, A. Dolganov, Dario Zanca, V. I. Borisov, E. Luchian, L. Dorosinsky

{"title":"Evaluation of the effectiveness of the decision support algorithm for physicians in retinal dystrophy using machine learning methods","authors":"A. Zhdanov, A. Dolganov, Dario Zanca, V. I. Borisov, E. Luchian, L. Dorosinsky","doi":"10.18287/2412-6179-co-1124","DOIUrl":"https://doi.org/10.18287/2412-6179-co-1124","url":null,"abstract":"Electroretinography is a method of electrophysiological testing, which allows diagnosing diseases associated with disorders of the vascular structures of the retina. The classical analysis of the electroretinogram is based on assessing four parameters of the amplitude-time representation and often needs to be specified further using alternative diagnostic methods. This study proposes the use of an original physician decision support algorithm for diagnosing retinal dystrophy. The proposed algorithm is based on machine learning methods and uses parameters extracted from the wavelet scalogram of pediatric and adult electroretinogram signals. The study also uses a labeled database of pediatric and adult electroretinogram signals recorded using a computerized electrophysiological workstation EP-1000 (Tomey GmbH) at the IRTC Eye Microsurgery Ekaterinburg Center. The scientific novelty of this study consists in the development of special mathematical and algorithmic software for analyzing a procedure for extracting wavelet scalogram parameters of the electroretinogram signal using the cwt function of the PyWT. The basis function is a Gaussian wavelet of order 8. Also, the scientific novelty includes the development of an algorithm for analyzing electroretinogram signals that implements the classification of adult (pediatric) electroretinogram signals 19 (20) percent more accurately than classical analysis.","PeriodicalId":46692,"journal":{"name":"Computer Optics","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90750345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Improving the diffraction efficiency of structures in direct laser writing using obliquely incident beams: modeling and experiment 利用斜入射光束提高直接激光书写结构的衍射效率:建模与实验

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Computer Optics Pub Date : 2023-04-01 DOI: 10.18287/2412-6179-co-1161

V. P. Kiryanov, N. Gurin

引用次数: 2