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30 articles for “Noise Removal”
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Research ArticleOpen accessIn the abstractAcoustic Echo Cancellation: Dual Architecture ImplementationB. Stark, B. D. BarkanaProblem statement: With the rise in mobile communication, it is becoming more frequent to use a communication device in an enclosed noisy environment, such as a subway or in a lobby. In this setting however, the received microphone is severely degraded by the echo from the speaker and background noise. The audio processing necessary to clarify the desired speech can … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,392 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Free Iterative Morphological Decomposition Algorithm for Shape RepresentationV. Vijaya Kumar, A. Srikrishna, G. Hemantha KumarProblem statement: A generalized skeleton transform allows a shape to be represented as a collection of modestly overlapped octagonal shape parts. One problem with several generalized Morphological skeleton transforms is that they generate noise after decomposition. The noise rate may not be effective for ordinary images; however this effect will be more when applied on printed or handwritten characters. Approach: … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 7,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractIDENTIFICATION OF EXUDATES USING FUZZY MATHEMATICAL MORPHOLOGYKittipol Wisaeng, Nualsawat Hiransakolwong, Ekkarat PothirukDiabetic Retinopathy is the damage to the retina caused by complication and the most common cause of blindness in Thailand. Retinal image is essential for expert ophthalmologists to diagnose diseases. Several of method can achieve good performance on retinal feature are clearly visible. Unfortunately, the color retinal image in Thailand are low-resolution images. The existing method cannot identified low-resolution image. … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 6,559 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Preprocessing Technique in the Computer Aided Detection of Breast CancerSenthilkumar Balasubramaniam, Umamaheswari GovindaswamyAnalyzing medical images is the most challenging task in medical image processing. Computer Aided Detection (CAD) tool is the aid for the radiologists in analyzing such images for the effective detection and diagnosis of the disease. Such a CAD tool consists of Preprocessing, Segmentation and detection processes. In this study we have improved the preprocessing by using the Selective Median … …Journal of Computer Science, Vol. 8, Issue 12 · 8 Nov 2012 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrincipal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris RecognitionM. Suganthy, P. RamamoorthyThis study involves the Iris Localization based on morphological or set theory which is well in shape detection. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done. Applications such as Median Filtering and Adaptive thresholding are used for handling the variations in lighting and noise. Features are extracted using Wavelet … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,753 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based CryptosystemKumari Rinki, Pushpneel Verma, Tanupriya Choudhury, Bhupesh Kumar SinghAs a result of the emerging technologies such as Internet-of-Things (IoT), data analysis and automation in many aspects of identity, watermarking has become increasingly important. A majority of prior systems focused on watermark embedding and recovery techniques for binary and grey-scale images in one specified region of the cover image, making the system less dependable. This study develops a novel … …Journal of Computer Science, Vol. 17, Issue 10 · 13 Nov 2021 · 6,098 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordRemote Surgeon Hand Motion and Occlusion Removal in Mixed Reality in Breast Surgical Telepresence: Rural and Remote CareKrishna Shakya, Suman Khanal, Abeer Alsadoon et al.Mixed reality in surgical telepresence has not been practically implemented as yet and research done, until now, is only theoretical. Aiming to implement a proposed new solution by merging virtual and augmented realities and bringing about improvements by removing occlusion and the noise caused by hand motions during surgery. The proposed system consists of an extended Camshift algorithm for the … …American Journal of Applied Sciences, Vol. 15, Issue 11 · 11 Jan 2019 · 8,566 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Qualitative Analysis of Independent Component Analysis Based Algorithms for the Removal of Artifacts from Electroencephalography SignalsBalaiah Paulchamy, Ilavennila, Jayabalan JayaProblem statement: Independent Component Analysis (ICA) based algorithms applied in the context to remove the artifacts from the EEG signals are evaluated with appropriate metrics and it compares and contrasts the performance of the different methods for such applications. The primary goal is to gain some insight into relative performance of the various methods. Approach: CA is a statistical and … …Journal of Computer Science, Vol. 8, Issue 3 · 6 Jan 2012 · 6,986 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomatic Text Removal and Replacement in Scanned Meteorological Thematic MapsAhsan Abdullah, Sohyb Sami Abo Alshamat, Ahmad Bakhashwain, Ahtisham AslamGeo-referenced data is required in many Geographic Information System (GIS) applications and one source of such data being maps. Meteorological maps are color-coded with different regions corresponding to different values of a parameter, parsing the image to convert into data is not very difficult. However, text and different planimetric elements overlaid on the regions in the map makes accurate image … …Journal of Computer Science, Vol. 11, Issue 5 · 18 Aug 2015 · 7,049 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA New Self-Adaptive Neuro Fuzzy Inference System for the Removal of Non-Linear Artifacts from the Respiratory SignalA. Bhavani Sankar, D. Kumar, K. SeethalakshmiProblem statement: In this study, a new ANFIS-based adaptive filter is proposed to remove the non-linear artifacts from the respiratory signal measured using MEMS based accelerometer sensor. The data recorded from the abdomen movement includes the respiratory signal, electromyogram, 50Hz power line interference and the random electrode noise. In order to avoid convergence into local extremes, the system employs ANFIS … …Journal of Computer Science, Vol. 8, Issue 5 · 16 Feb 2012 · 6,895 accessesView PDFCite