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Research ArticleOpen accessEvery word in the titleObject Detection and Classification from Thermal Images Using Region based Convolutional Neural NetworkUsha Mittal, Sonal Srivastava, Priyanka ChawlaIn recent years, object detection and classification has gained so much popularity in different application areas like face detection, self- driving cars, pedestrian detection, security surveillance systems etc. The traditional detection methods like background subtraction, Gaussian Mixture Model (GMM), Support Vector Machine (SVM) have certain drawbacks like overlapping of objects, distortion due to smoke, fog, lightening conditions etc. In this … …Journal of Computer Science, Vol. 15, Issue 7 · 18 Jul 2019 · 9,448 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCrypto-Watermarking of Images based on the Permutation on Z/pZ and the Wavelet Decompositions of Legall 5/3Younes Benlcouiri, Moulay Chrif Ismaili, Abdelmalek Azizi, Mohammed BenabdellahIn this work, we are interested in the insertion of the watermarking of digital images in the frequency domain. The algorithm proposed uses the transformed into wavelet Legall 5/3 on an image encrypted by swapping on the Z/pZ field, to perform the watermarking. By consequence, this introduces the concept of keys to the traditional methods of non-blind watermarking. The results … …Journal of Computer Science, Vol. 15, Issue 6 · 26 Jun 2019 · 7,451 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Deep Convolutional Neural Wavelet Network for Classification of Medical ImagesRamzi Ben Ali, Ridha Ejbali, Mourad ZaiedThis work present a new solution for medical image classification using the Neural Network (NN) and Wavelet Network (WN) based on the Fast Wavelet Transform (FWT) and the Adaboost algorithm. This method is divided in two stages: The learning stage and the classification stage. The first consists to extract the features using the FWT based on the MultiResolution Analysis (MRA). … …Journal of Computer Science, Vol. 14, Issue 11 · 11 Nov 2018 · 7,620 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomatic Detection of Exudates in Retinal Images using Region-Based, Neighborhood and Block OperationKittipol Wisaeng, Worawat Sa-NgiamviboolExudates detection is one of the research areas attracting great attention of physicians and scientists. A region-based, neighborhood, block operation and optimal global thresholding are proposed as new methods to exudates detection. The exudates are coarse and fine segmentation following preprocessing steps, i.e., color mapping, image contrast enhancement, fuzzy filtering and optic disc localization. To classify the retinal images into … …Journal of Computer Science, Vol. 14, Issue 4 · 21 Feb 2018 · 7,982 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparison of Classification Techniques on Fused Optical and SAR Images for Shoreline Extraction: A Case Study at Northeast Coast of Peninsular MalaysiaSyaifulnizam Abd Manaf, Norwati Mustapha, Md Nasir Sulaiman et al.Shoreline is a very important element to identify exact boundary at the coastal areas of a country. However, in order to identify land-water boundary for a large region using traditional ground survey technique is very time consuming. Alternatively, shoreline can be extracted by using satellite images that minimizes the mapping errors. The trend of extracting shoreline has been shifted from … …Journal of Computer Science, Vol. 12, Issue 8 · 27 Oct 2016 · 7,708 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHigh Resolution Satellite Images to Reconstruct Recent Evolution of Domitian CoastlinePasquale Maglione, Claudio Parente, Andrea VallarioIn the last decades, combinations of natural and humanfactors have resulted in extensive morphological changes to our coastlines andin many cases have amplified erosion. In order to limit these changes and theirimpact on coastal zone, it is important toplan specific actions; for this purpose detailed cognizance of coastal zone isnecessary. Different and heterogeneous data such as historical and recent maps,remotely … …American Journal of Applied Sciences, Vol. 12, Issue 7 · 28 Aug 2015 · 7,011 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Digital Images Through Cuckoo Search Algorithm in Combination with Morphological OperationK. Ratna Babu, K. V.N. SunithaThis study presents an image enhancement approach to Cuckoo Search Algorithmin with Morphological Operation. At the present time, in many image processing applications digital images are developed. Machine vision, computer interfaces, manufacturing, compression for storage and more are some of the fields of image processing application. Before using it in any applications the image has to be managed, such processing … …Journal of Computer Science, Vol. 11, Issue 1 · 10 Sep 2014 · 7,450 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Edge Detection Model Based on Virtual Magnetic Field: Application to Digital Color ImagesB. Nsiri, B. BoudaIn computer vision, the edge detection is an essential and difficult problem to study. For this reason, many detectors were developed for gray-level and color images. However, these edge detectors may miss some parts of the edges. In the aim, to deal with this problem, a new approach is proposed. It is based on Virtual Magnetic Field (VMF) in conjunction … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 25 Mar 2013 · 6,435 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNovel Fuzzy Technique for Cancer Detection in Noisy Breast Ultrasound ImagesN. Alamelumangai, J. DeviShreeProblem statement: Detecting tumor areas in breast Ultrasound (US) images is a challenging task. The occurrence of benign areas in breast may result in false identification of malignant areas which may have serious outcome. Approach: The CAD system could act as a major function in the early detection of breast cancer and could decrease the death rate among women with … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 12 Mar 2012 · 6,959 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Method for Contrast Enhancement in Still Images using Histogram Modification FrameworkC. G. Ravichandran, V. MagudeeswaranProblem statement: Image enhancement improves an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the image. Histogram based image enhancement technique is mainly based on equalizing the histogram of the image and increasing the dynamic range corresponding to the image. Approach: Histogram Equalization is widely used in different ways to perform contrast … …Journal of Computer Science, Vol. 8, Issue 5 · 2 Mar 2012 · 8,007 accessesView PDFCite