{"title":"A novel Adaptive class of Decision based Non-linear Rank-ordered Filters for the Restoration of Impulse corrupted digital images","authors":"J. Varghese","doi":"10.1109/ADCOM.2006.4289968","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289968","url":null,"abstract":"The thesis presents a novel adaptive class of decision based non-linear rank-order filter operators equipped with a variety of distinct characteristics to deal salt & pepper impulse noise situations in digital images even those which consume 95% signal content. The filters more efficiently choose an appropriate impulse restorer by adaptively moving over an acceptable image space to retain sharp details with least blocky, patchy effects.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"35 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132938319","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":"Development of Novel Fast Block Based Trace Mean Correspondence Algorithm for Face Tracking","authors":"Y. P. Gowramma, C. N. Ravikumar","doi":"10.1109/ADCOM.2006.4289896","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289896","url":null,"abstract":"We propose a novel computationally efficient correspondence algorithm to identify the correspondence of similar features of the reference frame to search frame in the dynamic image sequence analysis for face tracking. The correspondence of the features between the set of images is the central problem in computer vision(CV), image analysis(IA) and pattern recognition(PR). In these areas correspondence of features is the combinatorial explosion problem or NP-hard, because of their exhaustive searching for features in the sequence of image frames. This correspondence has three major steps such as segmentation, feature extraction and matching. In this paper we propose block-based segmentation in which the frame which contains the face to be track can be segmented as window of size 20*20 which covers the face. Here we consider the window trace mean is the feature since this is rotation invariant and it covers all the rows and columns of the window and it reduces the dimensionality and finally for matching we used the minimum absolute difference method which does not involves more computations since no multiplication operation is involved. We restrict the searching space to [-3,+3] pixels horizontally and vertically in the search image. Experimental results show that this novel algorithm could achieve much higher computational reduction as compared with full search (FS), diamond search (DS) (Tham et al., 1998 ), cross diamond search (CDS)(Cheung & Po, 2002) and area based correspondence (Gowramma & Kumar, 2006) algorithm for face tracking image sequence while similar prediction accuracy is maintained and it is especially suitable for video conferencing and slow moving dynamic image sequence.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134366819","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":"Quantification of Finite Word Length Effects in Filter Banks and Wavelet Transform","authors":"G. Snehal, Dr. T. Srikanth","doi":"10.1109/ADCOM.2006.4289910","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289910","url":null,"abstract":"It is known that computers store numbers not with infinite precision but rather in some approximation that can be packed into a fixed number of bits, and this leads to loss of information. Present work studies the effect of loss of information on the response of filter banks and Wavelet transform. These effects are universally called Finite word length effects. There are number of effects of finite word length like overflow and truncation errors in addition, and multiplication, effects of coefficient quantization, limit cycle, etc. Present focus is on coefficient quantization. To see Finite word length effects in filter banks and Wavelet transform authors have used algorithm in which image has been first wavelet transformed and again constructed back using quantized coefficients. Pyramidal algorithm with DAUB4 wavelet has been used. Simulation for both direct quantization of DAUB4 coefficients and equivalent lattice coefficients quantization has been performed. All simulations are done in C.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133316057","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":"Automatic modelling of protein 3D structure Nucleoplasmin-like viral coat protein from Cucumber mosaic virus","authors":"V. Gomase, J. P. Tandale, S. Patil, K. Kale","doi":"10.1109/ADCOM.2006.4289965","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289965","url":null,"abstract":"Automatic comparative molecular modelling of viral coat protein performs the homology modelling in different steps. Protein sequence of Capsid protein (Cucumber mosaic virus strain As) shows identify homologous proteins with known 3D structures by using PSI-BLAST i.e. it shows similarity with capsid protein from Cucumber mosaic virus (strain fny). Through analysis we got Nucleoplasmin-like viral coat protein as a potential template through a very convenient user interface for target selection. Bioinformatics software tools can reveal in formation on many aspect of protein structure and function, such as protein interaction expression pattern, surface activity, binding sites, and electrostatic potentials. Study focused on computational approach to deciphering the sequence similarity, molecular modeling and their function of coat protein of cucumber mosaic virus (strain fny). The data generated from these assay is subsequently added to a searchable database that allows potential drug targets to identify.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132919960","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":"A New Proposed Method for Image Segmentation Based on Gray Scale Morphological Transformations","authors":"C. Nagaraju, V.V. Kumar","doi":"10.1109/ADCOM.2006.4289966","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289966","url":null,"abstract":"Image segmentation is one of the most important steps leading to the analysis of processed data. Its main goal is to divide an Image into parts that have a strong correlation with Areas of the Real world contained in the Image .Image Segmentation by Mathematical Morphology is a Methodology based upon the notions of Reconstruction and Gradient method of an Image. Reconstruction is a very useful operator for Image Filtering, Segmentation, and Feature Extraction. In this paper a new Method is proposed based on the notion of regional maxima and makes use of Sequential reconstruction algorithm and Morphological Gradient .The present paper has two main sections, first is reconstruction of original Image from blurred Image by eliminating noise. Second is segment the Image by applying Morphological gradient method this method produced good result over conventional methods.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116787050","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":"Fractal image compression performance synthesis through HV partitioning","authors":"W.S. Rajkumar, M. Kulkarni, M. Dhore, S. Mali","doi":"10.1109/ADCOM.2006.4289976","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289976","url":null,"abstract":"This paper gives the information about fractal image compression which is an efficient technique for compactly coding images, in which an image is encoded by a contractive transformation whose fixed point is close to the original image, and then is decoded by using an iterative procedure. A fractal coder partitions an image into blocks that are coded via self-references to other parts of the image itself. The most commonly used partitioning method is the quadtree partition. We are using the HV partitioning scheme to obtain the range blocks. We are also increasing number of domain pools by consider scaling factor.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"84 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122216354","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":"Wavelet based texture analysis of Liver tumor from Computed Tomography images for characterization using Linear Vector Quantization Neural Network","authors":"K. Mala, Dr. V. Sadasivam","doi":"10.1109/ADCOM.2006.4289897","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289897","url":null,"abstract":"The use of medical imaging and tissue characterization techniques is popular in diagnosis, treatment and research. The objective of this work is to automatically extract the liver tumor from the liver region of the CT abdominal image and to characterize the liver tumor as benign or malignant using wavelet based texture analysis and Linear Vector Quantization (LVQ) neural network. The system is tested with 100 images. The accuracy obtained is 92%. Performance of the system for the different parameters of LVQ like learning rate, number of hidden neurons and the number of epochs are analyzed. To evaluate the performance of the system, parameters like sensitivity, specificity, positive predicting value and negative predicting value are calculated. The results are evaluated with radiologists.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123682912","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":"An Efficient Heuristic Algorithm for QoS-Driven Multicast Tree Generation","authors":"M. R. Kabat, S. K. Mohanty, R. Mall, C. Tripathy","doi":"10.1109/ADCOM.2006.4289926","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289926","url":null,"abstract":"Many multimedia communication applications require a source to transmit messages to multiple destinations subject to quality of service (QoS) delay constraint. The problem to be solved is to find a minimum cost multicast tree where each source to destination path is constrained by a delay bound. This problem has been proven to be NP-complete. In this paper, we present a more efficient heuristic algorithm, namely, cost sensitive delay constrained multicast (CSDCM) algorithm, based on a novel heuristic function, to construct a minimum cost delay bounded multicast tree. A noteworthy feature of this algorithm is that it has very high probability of finding the optimal solution in polynomial time with low computational complexity.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125077198","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":"Grooming of Survivable Multicast Sessions Against Single Link Failures in Sparse Splitting WDM Mesh Networks","authors":"N. Sreenath, B. Palanisamy, S. Nadarajan","doi":"10.1109/ADCOM.2006.4289927","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289927","url":null,"abstract":"Cost effective grooming of several sessions with fractional wavelength bandwidth onto a single wavelength has become prominent in WDM networks. We, in this paper, address the problem of survivable routing and wavelength assignment of multicast sessions with sub-wavelength traffic demands in sparse splitting WDM networks. We assume a sparse splitting node architecture in which only a few nodes in the network are split-capable. A node with splitting capability can forward an incoming message to more than one outgoing link in the optical form. The multicast capability at the non-split nodes can be achieved by converting the optical signal into electronic form and transmitting in optical form onto all the required outgoing links. However, the traffic duplication at the electronic level is more expensive than the optical level in terms of the delay incurred due to the optical-electronic-optical (O/E/O) conversion. Since the multicast traffic grooming problem is computationally intractable, we adopt a heuristic approach called VSGroom which tries to minimize the resources required for electronic copying. We extend the notion of link disjoint, arc disjoint and path disjoint protection methodologies to groomed multicast sessions in order to protect them from single link failures. The performance of the various protection algorithms is studied and compared through extensive simulation experiments.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124217738","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":"Fault-tolerant Video on Demand in RSerPool Architecture","authors":"A. Maharana, G. Rathna","doi":"10.1109/ADCOM.2006.4289950","DOIUrl":"https://doi.org/10.1109/ADCOM.2006.4289950","url":null,"abstract":"With the advent of Internet, video over IP is gaining popularity. In such an environment, scalability and fault tolerance will be the key issues. Existing video on demand (VoD) service systems are usually neither scalable nor tolerant to server faults and hence fail to comply to multi-user, failure-prone networks such as the Internet. Current research areas concerning VoD often focus on increasing the throughput and reliability of single server, but rarely addresses the smooth provision of service during server as well as network failures. Reliable Server Pooling (RSerPool), being capable of providing high availability by using multiple redundant servers as single source point, can be a solution to overcome the above failures. During a possible server failure, the continuity of service is retained by another server. In order to achieve transparent failover, efficient state sharing is an important requirement. In this paper, we present an elegant, simple, efficient and scalable approach which has been developed to facilitate the transfer of state by the client itself, using extended cookie mechanism, which ensures that there is no noticeable change in disruption or the video quality.","PeriodicalId":296627,"journal":{"name":"2006 International Conference on Advanced Computing and Communications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127791862","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}