2014 Fifth International Conference on Signal and Image Processing最新文献_第4页

Scale Invariant Feature Transform Based Image Matching and Registration 基于尺度不变特征变换的图像匹配与配准

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.12

H. Kher, V. Thakar

引用次数: 17

Power-Delay Optimized 32 Bit Radix-4, Sparse-4 Prefix Adder 功率延迟优化的32位基数-4，稀疏-4前缀加法器

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.38

N. Poornima, V. S. K. Bhaaskaran

引用次数: 0

Shape Based Copy Move Forgery Detection Using Level Set Approach 基于形状的水平集复制移动伪造检测

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.40

K. Sudhakar, V. Sandeep, S. Kulkarni

引用次数: 5

Low Power Square and Cube Architectures Using Vedic Sutras 使用吠陀经典的低功耗方形和立方体架构

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.62

V. Kunchigi, L. Kulkarni, S. Kulkarni

{"title":"Low Power Square and Cube Architectures Using Vedic Sutras","authors":"V. Kunchigi, L. Kulkarni, S. Kulkarni","doi":"10.1109/ICSIP.2014.62","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.62","url":null,"abstract":"In this paper low power square and cube architectures are proposed using Vedic sutras. Low power and less area square and cube architectures uses Dwandwa yoga Duplex combination properties of Urdhva Tiryagbhyam sutra and Anurupyena sutra of Vedic mathematics. Simulation results for 8-bit square and 8-bit cube shows that proposed architectures lowers the total power consumption by 45% and area by 63% when compared to the conventional architecture. Also the reduction in power consumption increases with the increase in bit width. Comparison is made between conventional and Vedic method implementations of square and cube architecture. Implementation results show a significant improvement in terms of area, power and delay. Proposed square and cube architectures can be used for high speed and low power applications. Synthesis is done on Xilinx FPGA Device using, Xilinx Family: Spartan 3E, Speed Grade: -4. Propagation delay of the proposed 8-bit square is 4ns and area consumed in terms of slices is 22 and for 8-bit cube propogation delay is 7.72ns and area consumed in terms of slices is 58. Dynamic power estimation for square and cube are 13mW and 16mW respectively.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123609233","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: 22

Novel Signatures for Gait Analysis Using Level Sets 使用水平集进行步态分析的新特征

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.44

K. Karthik, M. Kumar, Sunil Rao, Channabasava Nucchha, Subhash S. Kulkarni

引用次数: 0

Classification of Ancient Epigraphs into Different Periods Using Random Forests 利用随机森林对古代铭文进行不同时期的分类

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.33

Soumya A, G. Hemantha Kumar

{"title":"Classification of Ancient Epigraphs into Different Periods Using Random Forests","authors":"Soumya A, G. Hemantha Kumar","doi":"10.1109/ICSIP.2014.33","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.33","url":null,"abstract":"Epigraphists, who identify the ancient inscriptions, reconstruct, translate, draw conclusions about the writings, and classify their uses according to dates, are decreasing in number and also because of the fact that repetitive tasks can be exhausting for humans and prone to errors there is a need arising for the automation of these kinds of tasks. It is observed that the characters of a script have evolved over years and transformed to the current form. The purpose of this work is to estimate the period of an epigraph which is the initial step towards automating the task of reading and deciphering inscriptions. The proposed system considers a reconstructed grayscale image of an epigraph pertaining to ancient Kannada script as its input, which is binarized using Otsu's method and then segmented to characters using Connected Component analysis. Normalized Central Moments and Zernike Moments are extracted from the segmented characters and used as the feature vectors for classification. Random Forest (RF) is used as the classifier, which is an ensemble of classification trees, and each tree votes for a class and the output class is the majority of the votes which determines the era of the input epigraph. The system developed is used to classify ancient Kannada epigraphs belonging to the period of any of these dynasties: Ashoka, Satavahana, Kadamba, Chalukya, Rastrakuta and Hoysala. The system showed good results when tested on 110 Kannada epigraph images from different eras. An analysis of the prediction rate of the epigraphs was carried out and obtained a rate of 85% using RF classifier.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134159801","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

User Intervention Based Detection & Removal of Cracks from Digitized Paintings 基于用户干预的检测;从数字化绘画中去除裂缝

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.7

S. Desai, Kavita V. Horadi, P. Navaneet, B. Niriksha, V. Siddeshvar

{"title":"User Intervention Based Detection & Removal of Cracks from Digitized Paintings","authors":"S. Desai, Kavita V. Horadi, P. Navaneet, B. Niriksha, V. Siddeshvar","doi":"10.1109/ICSIP.2014.7","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.7","url":null,"abstract":"An user intervention based advanced technique for the detection and elimination of cracks in digitized paintings and images is proposed in this paper. Usually cracks degrade the quality of painting as well as authenticity of painting becomes questionable. In the proposed method the cracks are detected by thresholding the result of the morphological top-hat transform. Further, misidentified cracks are detected either by involving user intervention or by using a semi-automatic procedure based on region growing technique. Finally, crack interpolation also called crack filling is performed using order statistics filters so as to restore the cracked image. The true positive rate and false positive rate are used to evaluate the performance of the proposed technique. We collected 2000 paintings & images classified as cracked and uncracked online digital art database for experimental purpose. The result shows achievement of true positive rate of about 98.3% at the rate of 0.1 false positive per image. This is because of providing user intervention during module called identifying mis-identified cracks.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131958534","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

Performance Evaluation of Various Feature Extraction Techniques with Special Reference to Hand Gesture Recognition 各种特征提取技术的性能评价，特别是手势识别

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.43

Anjali R. Patil, S. Subbaraman

引用次数: 1

Vehicle Speed Detection Using Corner Detection 使用拐角检测的车辆速度检测

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.46

KV KiranKumar, Pallavi Chandrakant, Santosh Kumar, KJ Kushal

引用次数: 15

Design of a Low Error Fixed-Width Radix-8 Booth Multiplier 一种低误差定宽基数-8展位乘法器的设计

2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.39

Saroja S. Bhusare, V. Bhaskaran

引用次数: 3