ICTACT Journal on Image and Video Processing最新文献_第5页

Automatic License Plate Recognition using Image Processing and Neural Network 基于图像处理和神经网络的车牌自动识别

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/IJIVP.2018.0251

P. Surekha, Pavan Gurudath, R. Prithvi, V. Ananth

引用次数: 15

MULTISTAGE CLASSIFICATION OF DIABETIC RETINOPATHY USING FUZZYNEURAL NETWORK CLASSIFIER 模糊神经网络分类器在糖尿病视网膜病变多阶段分类中的应用

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0244

D. K. Prasad, L. Vibha, K. Venugopal

引用次数: 3

BIT RATE REDUCTION FOR H.264/AVC VIDEO BASED ON NOVEL HEXAGON SEARCH ALGORITHM 基于六边形搜索算法的h.264 / avc视频码率降低

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0248

R. Mamatha, N. Keshaveni

{"title":"BIT RATE REDUCTION FOR H.264/AVC VIDEO BASED ON NOVEL HEXAGON SEARCH ALGORITHM","authors":"R. Mamatha, N. Keshaveni","doi":"10.21917/ijivp.2018.0248","DOIUrl":"https://doi.org/10.21917/ijivp.2018.0248","url":null,"abstract":"Video compression without losing the quality of information is more complex and time consuming process in video communication. H.264/AVC is designed and developed to meet corresponding video compression. Motion estimation and motor vector are the two important key techniques considered during video compression. The encoder complexity and process time is increased as demand increases for better quality of video service. The proposed model mainly concentrated on bit rate reduction of H.264/AVC with reduced rate distortion optimization (RDO) computation. Based on the texture information each input frame slices into 16 × 16 and 4 × 4 Macro block (MB) divisions. For each MB a gradient bit cost and RDO value is calculated for the best mode selection. If the bit cost of the MB is less than predefined level then DC mode are directly chosen for frame prediction, similarly the process is repeated for all chroma samples. This process of mode selection minimizes the RDO calculation up to 36 modes, further the complexity of encoder is reduced by using a motion search algorithms. The proposed system is implemented using MATLAB tool with Hexagonal motion search and Binary Search methods to reduce the bit rate video frames. The system performance is analysed by using a PSNR value and bit rate of the Predicted frame.","PeriodicalId":30615,"journal":{"name":"ICTACT Journal on Image and Video Processing","volume":"8 1","pages":"1764-1775"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43801911","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

CURVELET BASED SATELLITE IMAGE NATURAL RESOURCE CLASSIFICATION SYSTEM USING ELM 基于CURVELET的ELM卫星图像自然资源分类系统

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0247

A. Dixit, N. Hegde, B. E. Reddy

{"title":"CURVELET BASED SATELLITE IMAGE NATURAL RESOURCE CLASSIFICATION SYSTEM USING ELM","authors":"A. Dixit, N. Hegde, B. E. Reddy","doi":"10.21917/ijivp.2018.0247","DOIUrl":"https://doi.org/10.21917/ijivp.2018.0247","url":null,"abstract":"Remote sensing is one of the hottest topics of research, which intends to study or analyze a particular object in the topographic map. The monitoring and management is possible when it is possible to differentiate the objects in the satellite image. However, satellite image classification is not easy, as it consists of numerous minute details. In addition to this, the accuracy and faster execution of the classification system are significant factors. This article presents a satellite image classification system that is capable of differentiating between soil, vegetation and water bodies. To achieve the goal, we categorize the entire system into three major phases; they are satellite image preprocessing, feature extraction and classification. The initial phase attempts to denoise the satellite image by the adaptive median filter and the contrast enhancement is done by Contrast Limited Adaptive Histogram Equalization (CLAHE). As the satellite image possess many important features, this work extracts curvelet moments by applying curvelet transform. The feature vector is formed out of these curvelet moments and the ELM classifier is used to train these features. The performance of the proposed approach is observed to be satisfactory in terms of sensitivity, specificity, and accuracy.","PeriodicalId":30615,"journal":{"name":"ICTACT Journal on Image and Video Processing","volume":"8 1","pages":"1759-1763"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45706502","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

EFFECTIVE ROBUST PATCHWORK METHOD TO THE VULNERABLE ATTACK FOR DIGITAL AUDIO WATERMARKING 针对数字音频水印易受攻击的一种有效的鲁棒拼接方法

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0246

Y. Chincholkar, Shalaka Pravin Kude

{"title":"EFFECTIVE ROBUST PATCHWORK METHOD TO THE VULNERABLE ATTACK FOR DIGITAL AUDIO WATERMARKING","authors":"Y. Chincholkar, Shalaka Pravin Kude","doi":"10.21917/ijivp.2018.0246","DOIUrl":"https://doi.org/10.21917/ijivp.2018.0246","url":null,"abstract":"This paper presents patchwork based digital audio watermarking. The advanced growth in transmission of digital data has resulted in a corresponding elevation in the need for copyright protection of signal. Cryptography and steganography are used for the content protection but do not completely solve the copyright issue. Watermarking is a method to protect and identify the digital data while maintaining the quality of the host media, it permits various types of watermarks to be hidden in audio signal e.g. image, audio and video. This paper limits on image embedding technique using patchwork-based method. In patchwork based method average of all segments of approximate coefficients is calculated for embedding watermark into sound signal. The experimental results shows that proposed method achieves imperceptibility for audio signal as watermarked audio signal is inaudible after embedding watermark and robustness of watermark against different signal processing attacks with higher PSNR. The resulting audio is robust to attacks and exhibits good quality in term of peak signal to noise ratio. The simulation results show the effectiveness of the proposed system.","PeriodicalId":30615,"journal":{"name":"ICTACT Journal on Image and Video Processing","volume":"8 1","pages":"1753-1758"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44064968","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: 1

EARLY DIAGNOSIS OF DIABETIC RETINOPATHY BY THE DETECTION OF MICROANEURYSMS IN FUNDUS IMAGES 眼底图像微动脉瘤的早期诊断

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0245

Jeline Devadhas, R. Binisha

引用次数: 0

FINGER-KNUCKLE-PRINT RECOGNITION SYSTEM BASED ON FEATURESLEVEL FUSION OF REAL AND IMAGINARY IMAGES 基于特征级真假图像融合的指关节指纹识别系统

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0252

A. Attia, A. Moussaoui, Mourad Chaa, Y. Chahir

{"title":"FINGER-KNUCKLE-PRINT RECOGNITION SYSTEM BASED ON FEATURESLEVEL FUSION OF REAL AND IMAGINARY IMAGES","authors":"A. Attia, A. Moussaoui, Mourad Chaa, Y. Chahir","doi":"10.21917/ijivp.2018.0252","DOIUrl":"https://doi.org/10.21917/ijivp.2018.0252","url":null,"abstract":"In this paper, a new method based on Log GaborTPLBP (LGTPLBP) has been proposed. However the Three Patch Local Binary Patterns (TPLBP) technique used in face recognition has been applied in Finger-Knuckle-Print (FKP) recognition. The 1DLog Gabor filter has been used to extract the real and the imaginary images from each of the Region of Interest (ROI) of FKP images. Then the TPLBP descriptor on both images has been applied to extract the feature vectors of the real image and the imaginary image respectively. These feature vectors have been jointed to form a large feature vector for each image FKP. After that, the obtained feature vectors of all images are processed directly with a dimensionality reduction algorithm, using linear discriminant analysis (LDA). Finally, the cosine Mahalanobis distance (MAH) has been used for matching stage. To evaluate the effectiveness of the proposed system several experiments have been carried out. The Hong Kong Polytechnic University (PolyU) FKP database has been used during all of the tests. Experimental results show that the introduced system achieves better results than other stateof-the-art systems for both verification and identification.","PeriodicalId":30615,"journal":{"name":"ICTACT Journal on Image and Video Processing","volume":"8 1","pages":"1793-1799"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43384166","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: 7

COMPARISON OF CONTOUR FEATURE BASED AND INTENSITY BASED INSAT-3D MET IMAGES COREGISTRATION FOR SUB PIXEL ACCURACIES 基于轮廓特征和基于强度的nfnd-3dmet图像配准亚像素精度的比较

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0243

Manthira Moorthi Subbiah, R. Sivakumar

{"title":"COMPARISON OF CONTOUR FEATURE BASED AND INTENSITY BASED INSAT-3D MET IMAGES COREGISTRATION FOR SUB PIXEL ACCURACIES","authors":"Manthira Moorthi Subbiah, R. Sivakumar","doi":"10.21917/ijivp.2018.0243","DOIUrl":"https://doi.org/10.21917/ijivp.2018.0243","url":null,"abstract":"Image registration in meteorological images that are acquired continuously for their use in weather forecast activities and other related scientific analysis is a critical requirement. Meteorological images are obtained from geostationary orbits in visible, infrared, water vapor channels covering a large frame of several hundreds of kilometres of geographical extent which generally involve bidirectional scanning to cover larger extents. The acquired images have to be guaranteed for their geometric fidelity to a standard of choice among themselves by image registration. Registration of such images require to deal with low contrast, cloud and snow occlusions apart from navigation data uncertainties. Nevertheless, sub pixel accuracies are demanded for image analysis and geophysical parameters derivations. Feature based registration techniques are commonly used and intensity based techniques are also put to use in these contexts rarely. The proposed feature based approach uses a land water boundary data extraction with phase correlation of image blocks and proposed the intensity based approach tackles the same problem without any preprocessing step using a sampler-metric-transform-optimizer procedure. A comparison of these two approaches is pursued here in this article using various channel data sets of INSAT-3D satellite for sub pixel accuracies.","PeriodicalId":30615,"journal":{"name":"ICTACT Journal on Image and Video Processing","volume":"8 1","pages":"1731-1738"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46377459","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: 1

SEMANTIC IMAGE DESCRIPTION AND CLASSIFICATION BASED ON GENERALIZED SET 基于广义集的语义图像描述与分类

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0250

Ri ChangYong, Pak DuHo, Rim KyongChol, Ju JinHok

引用次数: 0

DESPECKLEING PROSTATE ULTRASONOGRAMS USING PDE WITH WAVELET 用小波变换PDE解标前列腺超声

ICTACT Journal on Image and Video Processing Pub Date : 2018-05-01 DOI: 10.21917/ijivp.2018.0249

J. Ramesh, R. Manavalan

引用次数: 2