{"title":"A steady tracking technology adopted to fast FH/BPSK signal under satellite channel","authors":"SuLi Guo, Zhigang Lou, Xiduo Wang, ShuangZhi Xia","doi":"10.1117/12.2197438","DOIUrl":"https://doi.org/10.1117/12.2197438","url":null,"abstract":"In order to survive under the conditions with great jamming and interference, fast frequency hopped signal are employed in satellite communication system. This paper discusses the nonlinear phases induced by the equipment and atmosphere, and their influence on the FFH/BPSK tracking loop. Two methods are developed including compensating phase which is based on channel estimation and compensating Doppler frequency based on velocity normalization. Simulation results for a real circuit with proper parameters shows that the degradation due to the demodulation of frequency-hopped is only a fraction of one dB in an AWGN environment under satellite channel.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117126219","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}
D. Burdescu, M. Brezovan, L. Stanescu, C. S. Spahiu, D. Ebânca
{"title":"Efficient threshold for volumetric segmentation","authors":"D. Burdescu, M. Brezovan, L. Stanescu, C. S. Spahiu, D. Ebânca","doi":"10.1117/12.2197443","DOIUrl":"https://doi.org/10.1117/12.2197443","url":null,"abstract":"Image segmentation plays a crucial role in effective understanding of digital images. However, the research on the existence of general purpose segmentation algorithm that suits for variety of applications is still very much active. Among the many approaches in performing image segmentation, graph based approach is gaining popularity primarily due to its ability in reflecting global image properties. Volumetric image segmentation can simply result an image partition composed by relevant regions, but the most fundamental challenge in segmentation algorithm is to precisely define the volumetric extent of some object, which may be represented by the union of multiple regions. The aim in this paper is to present a new method to detect visual objects from color volumetric images and efficient threshold. We present a unified framework for volumetric image segmentation and contour extraction that uses a virtual tree-hexagonal structure defined on the set of the image voxels. The advantage of using a virtual tree-hexagonal network superposed over the initial image voxels is that it reduces the execution time and the memory space used, without losing the initial resolution of the image.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117265860","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}
{"title":"Design and realization of a weak signal acquisition system for optical spectrum analysis","authors":"Ming Yu, Hui Lin, Xin Wei","doi":"10.1117/12.2197012","DOIUrl":"https://doi.org/10.1117/12.2197012","url":null,"abstract":"A weak signal processing system for spectrum analyzing using low-noise isolation and amplification and low-pass Filter (LPF) methods is developed. In order to extract the spectrum signals from the external disturbance as well as regenerate the detected results dynamically, a method of synchronized isolation and amplification is used to amplify the weak signals exponentially as well as to isolate the noise of random frequency by electromagnetic induction technology, and a LPF is designed to keep the output signals stable. What’s more, an interface based on MFC single document view is programmed to display and save the scanned spectrum diagram. As a result, more than 1.5 million times of amplification, less than 9nAof current drift and a cut-off frequency of 10Hzisequipped for the system.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114767102","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}
Edwar Jacinto, Fredy H. Martínez, Fernando Martínez Santa
{"title":"Minimalist identification system based on venous map for security applications","authors":"Edwar Jacinto, Fredy H. Martínez, Fernando Martínez Santa","doi":"10.1117/12.2197066","DOIUrl":"https://doi.org/10.1117/12.2197066","url":null,"abstract":"This paper proposes a technique and an algorithm used to build a device for people identification through the processing of a low resolution camera image. The infrared channel is the only information needed, sensing the blood reaction with the proper wave length, and getting a preliminary snapshot of the vascular map of the back side of the hand. The software uses this information to extract the characteristics of the user in a limited area (region of interest, ROI), unique for each user, which applicable to biometric access control devices. This kind of recognition prototypes functions are expensive, but in this case (minimalist design), the biometric equipment only used a low cost camera and the matrix of IR emitters adaptation to construct an economic and versatile prototype, without neglecting the high level of effectiveness that characterizes this kind of identification method.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126357835","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}
W. Czekała, J. Dach, A. Ludwiczak, A. Przybylak, P. Boniecki, K. Koszela, M. Zaborowicz, K. Przybył, D. Wojcieszak, K. Witaszek
{"title":"The use of image analysis to investigate C:N ratio in the mixture of chicken manure and straw","authors":"W. Czekała, J. Dach, A. Ludwiczak, A. Przybylak, P. Boniecki, K. Koszela, M. Zaborowicz, K. Przybył, D. Wojcieszak, K. Witaszek","doi":"10.1117/12.2197041","DOIUrl":"https://doi.org/10.1117/12.2197041","url":null,"abstract":"The aim of the study was to determine the possibility of analysis of C:N ratio in the chicken manure and wheat straw mixture. This paper presents preliminary assumptions and parameters of extraction characteristics process. It also presents an introduction of digital image analysis of chicken manure and wheat straw mixture. This work is an introduction to the study on develop computer system that could replace chemical analysis. Good understanding the value of dependence C:N on the basis of image analysis will help in selection of optimal conditions for biological waste treatment.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129715749","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}
{"title":"Design and implementation of semantics-based image retrieval system","authors":"Chundi Ni, Shenkui Liu, Ligong Pan, Xiaowei Yin","doi":"10.1117/12.2197236","DOIUrl":"https://doi.org/10.1117/12.2197236","url":null,"abstract":"Through the study of the existing image retrieval technology, in this paper, a new design scheme of semantics-based image retrieval system is presented. Based on the establishment of mapping relationship between the low-level image features and the low layer of semantic image, this scheme associates the low layer of semantic image with high-level semantics, thus realizing hierarchical semantics description structure, to improve the high-level semantic image recognition accuracy rate.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"9631 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131208780","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}
Qinglin Lu, O. Laligant, E. Fauvet, Anastasia Zakharova
{"title":"Local surface curvature analysis based on reflection estimation","authors":"Qinglin Lu, O. Laligant, E. Fauvet, Anastasia Zakharova","doi":"10.1117/12.2196932","DOIUrl":"https://doi.org/10.1117/12.2196932","url":null,"abstract":"In this paper, we propose a novel reflection based method to estimate the local orientation of a specular surface. For a calibrated scene with a fixed light band, the band is reflected by the surface to the image plane of a camera. Then the local geometry between the surface and reflected band is estimated. Firstly, in order to find the relationship relying the object position, the object surface orientation and the band reflection, we study the fundamental theory of the geometry between a specular mirror surface and a band source. Then we extend our approach to the spherical surface with arbitrary curvature. Experiments are conducted with mirror surface and spherical surface. Results show that our method is able to obtain the local surface orientation merely by measuring the displacement and the form of the reflection.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133228412","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}
K. Przybył, K. Górna, D. Wojcieszak, W. Czekała, A. Ludwiczak, A. Przybylak, P. Boniecki, K. Koszela, M. Zaborowicz, D. Janczak, A. Lewicki
{"title":"The recognition of potato varieties using of neural image analysis method","authors":"K. Przybył, K. Górna, D. Wojcieszak, W. Czekała, A. Ludwiczak, A. Przybylak, P. Boniecki, K. Koszela, M. Zaborowicz, D. Janczak, A. Lewicki","doi":"10.1117/12.2197033","DOIUrl":"https://doi.org/10.1117/12.2197033","url":null,"abstract":"The aim of this paper was to extract the representative features and generate an appropriate neural model for classification of varieties of edible potato. Potatoes of variety the Vineta and the Denar were the empirical object of this thesis. The main concept of the project was to develop and prepare an image database using the computer image analysis software. The choice of appropriate neural model the one which will have the greatest abilities to identify the selected variety. The aim of this project is ultimately to conduct assistance and accelerate work of the expert, who classifies and keeps different varieties of potatoes in heaps.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132763145","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}
{"title":"IR radiative properties modeling and feature extraction method on ballistic target","authors":"L. Huang, Xin Li, Junliang Liu","doi":"10.1117/12.2197145","DOIUrl":"https://doi.org/10.1117/12.2197145","url":null,"abstract":"Due to physical structures and motion attitudes, the IR radiative properties of ballistic targets are different during their flights. However, such differences cannot be easily detected by high-speed observing platform under the influence of detector noise, consequently causing difficulties with the classification and recognition of targets. This paper presents a modeling and simulation of the IR radiative properties of ballistic targets, provides a discussion on the variations in the IR radiative properties among different targets, and proposes a method for a parametric expression of the grayscale time series of the targets under noise. The experimental result indicates that by constructing a hybrid model of tendency, period and noise, an effective feature of the time series can be extracted using de-noising, curve-fitting, and frequency transformation, which ultimately contributes to the classification of targets.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125224817","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}
{"title":"Saliency detection based on multi-instance images learning","authors":"Shouhong Wan, Peiquan Jin, Lihua Yue, Qian Huang","doi":"10.1117/12.2197036","DOIUrl":"https://doi.org/10.1117/12.2197036","url":null,"abstract":"Existing visual saliency detection methods are usually based on single image, however, without priori knowledge, the contents of single image are ambiguous, so visual saliency detection based on single image can’t extract region of interest. To solve it, we propose a novel saliency detection based on multi-instance images. Our method considers human’s visual psychological factors and measures visual saliency based on global contrast, local contrast and sparsity. It firstly uses multi-instance learning to get the center of clustering, and then computes feature relative dispersion. By fusing different weighted feature saliency map, the final synthesize saliency map is generated. Comparing with other saliency detection methods, our method increases the rate of hit.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127447417","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}