digital image processing 2021




Review on emerging trends in detection of plant diseases using image processing with machine learning
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diseases in plants becomes essential. The digital image processing system is one such powerful technique to diagnose the difficult symptoms much earlier than the human eye could recognize. It enables the farmers to take[15] Appasaheb Gargade, Mr. S. A Khandekar (2019 IEEE): In this paper describe a custard apple leaf parameter disease and its analysis, detection using digital image processing . It is a review paper in this paper review a seventeen paper Abstract Image segmentation is one of the inevitable parts of the digital image processing and very useful to solve different real life problems. Biomedical image segmentation is a prime domain of application of digital image processing

Toward developing tangling noise removal and blind inpainting mechanism based on total variation in image processing
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always make some ar- tificial marks in their focus area, which leads to some difficulties in fur- ther computer-aided processing and evaluating Syst. 32(1), 252 265 (2021) 2 Deeba, F., Kun, S.: Lossless digital image watermarking in sparse do- main by using K-singular value

Improving Encryption Digital Watermark by Using Blue Monkey Algorithm
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Copyright protection for digital image by watermarking technique, Journal of Information

A robust image copy detection method using machine learning
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It prompts to exceedingly worrying for people to distinguish the picture is authenticate or forged. The accessibility of digital image processing software includes Photo Shop, Adobe Photoshop makes it moderately simple to generate the forged image from several images

Categorizing and measurement satellite image processing of fire in the forest greece using remote sensing
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In [14-16], show the size harms and dangers in Turkey especially over Mediterranean and Aegean Regions caused by Forest fires. Several digital image processing methods used to study the fire categorizing and compute the fire influenced on the burned areas

Tomato leaf disease detection using image processing technique
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In the pre- processing step, all the images are converted into the same size. The main source of noise in a digital image are sensor be affected by environmental conditions, light levels not sufficient, dust particle present on the scanner screen

Automated Screening of Diabetic Retinopathy Using Image Processing
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in the United Kingdom, Curr. Diab. Rep., vol. 1 no. pp. 338 34 2012. RC Gonzalez and E. Richard, Woods, digital image processing ed: Prentice Hall Press, ISBN 0-201-18075- 2002. MJ Cree, JA Olson, KC

LIVER CANCER DETECTION USING HYBRIDIZED FULLY CONVOLUTIONAL NEURAL NETWORK BASED ON DEEP LEARNING FRAMEWORK
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I. INTRODUCTION Digital image processing is the process of digital images through an algorithm by the digital computer It is classified into two types of processing one is digital image processing and analogue image processing23]. Digital image processing is an active field of research that has various application in our daily life [1 1 1 22]. Image segmentation is one of the most frequently used job in digital image processing . It is necessaryhave introduced a method of calibrating a distorted projection on an arbitrary planar screen by using a tilt sensor and a digital compass brings the visual interaction into new step because image area recognition is no needed to be done by a heavy image processing technique

A Review of Medical Image Segmentation Algorithms
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2009; pp. 703-707. RCGonzalez and REWoods, Digital image processing 2-ed.NewYork: Prentice Hall; 2002.1-813. RM Haralick and LGShapiro, Image Segmentation Techniques, .Computer VisionGraphics,and Image processing .1985;Vol-2 Issue p.100

Comparative Analysis of Spatial-orientation Trees Wavelet (STW) and Adaptively Scanned Wavelet Difference Reduction (ASWDR) Image Compression
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Two principal applications of digital image processing include improvement of image Page | 365 individually. Fig 1: Fundamental steps in digital image processing Image representation and description: Image representation is used to convert the input data to a form suitable

Social Distancing Detector using YOLO v3 Image Processing Algorithm
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Look Once) algorithm for object detection till date YOLO is one of fastest image processing algorithm recognition via spatial multiple instance embedding, Journal of Visual Communication and Image Representation 32 A. Ghorai, S. Gawde, D. Kalbande, Digital solution forSteve Man, Intelligent Image Processing , John Wiley Sons. William K. Pratt, Digital Image Processing , John Wiley Sons. SV Rice, G. Nagy, and TA Nartker, OCR: An Illustrated Guide to the Frontier , Kluwer Academic PublishersThe fifth chapter reports on a wide range of electronic reproduction tools while the sixth chapter explains spatial sampling, quantization, and digital encoding of the image signal these tools use. Chapters and 11 are devoted, respectively, to the processing of fine details

DETECTION OF DIABETIC RETINOPATHY BY RED LESION ANALYSIS
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Several image processing based techniques are employed for the DR detection. In this work, an identification technique was developed on the basis of digital image processing to obtain the fundus image from the affected retina

Grading and Quality Testing of Rice Granules Using Neural Networks
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consuming and inaccurate. For the identification of rice grain seed varieties and quality the other method is a chemical method which uses a machine vision or the digital image processing system. Compared to the chemical The combination of these digital recording devices and the internet has provided individuals with the opportunity to rapidly distribute copyrighted material without appropriate compensation to the appropriate owners [ 5]. Ergo Ieee Transactions on Image Processing Vol Khaled Loukhaoukha and Jean-Yves Chouinard [27], suggested hybrid robust digital watermarking technique singular estimate of that sub-band, at the end the image is reconstructed imperceptibility is provided as well as greater robustness against common signal processing10.1145/1507149.1507161 24. Pratt, WK: Digital Image Processing . John Wiley Sons, Inc., Hoboken (2007). https://doi. org/10.1002/0470097434

Fast Implementation of Digital Watermarking Schemes Based on Arnold and Discrete Wavelet Transforms
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The results demonstrated the robustness of the system against common image processing operations. Tsai et al. (2017) proposed image watermarking method based on the fast DCT algorithm for implementation in digital signal processorThe processing parameters are directly linked to its evolution in the image The final digital image that contains the information useful to the control depends on the different elements that make up the radioscopic system (1-2]. The radiant image is distinguished from the digital one

ESTIMATING INDIVIDUAL TREE HEIGHTS AND DBHS FROM VERTICALLY DISPLACED SPHERICAL IMAGE PAIRS
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DeCourt (1956) demonstrated how printed photos and manual processing could be used to estimate basal area per ha using angle count sampling In addition, errors resulting from the stitching of several digital image cannot be avoided (Dick et al.; Fastie; Lu et alKH Mangaleswari, T. Kaviya, Detection of leaf diseases and classification using digital image processing , International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Year: | Conference Paper | Publisher: IEEE

Improvement of Grayscale Images in Orthogonal Basis of the Type-2 Membership Function.
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1. Introduction The number of practical problems associated with digital image processing which are obtained with the help of standard research methods, and which are used, for example, in materials science, or medicine, or flaw detection, is constantly growing

An Efficient Implementation of IWT-DCT-SVD for Copyright Protection in Digital Watermarking Algorithm
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2313| Karthikeyan C An Efficient Implementation of IWT-DCT-SVD for Copyright Protection in Digital Watermarking Algorithm R.Singh, A.Ashokand M.Saraswat,Optimised robust watermarking techniques using CKGSA in DCT-SVD domain,IET Image ProcessingVol.1 No.10

Quality analysis for the production of pelletised materials using Fourier Descriptors
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Keywords Fourier analysis, fourier descriptors, surface analy- sis, digital image processing 1 Introduction Plastic pellets be produced by pushing molten prime material through die plates into a water stream and pelletizing by cutting the extrusion with a rotating cutter to the

LOW AREA HIGH SPEED COMBINED MULTIPLIER USING MULTIPLEXER BASED FULL ADDER
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Abstract:- In Digital Image Processing Median Filter is used to reduce the noise in an image . The median filter considers each pixel in the image and replaces the noisy pixel by the median of the neighbourhood pixels. The median value is calculated by sorting the pixels

A Lightweight Secure Image Super Resolution using Network Coding.
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CVGIP: Graphical Models and Image Processing 53(3):231 239. Keys, R. (1981). Cubic convolution interpolation for digital image processing . IEEE Transactions on Acoustics, Speech, and Signal Processing 29(6):1153 1160. Kim, J., Kwon Lee, J., and Mu Lee, K. (2016)

Convexity and AFPP in the Digital Plane
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SPIE Proceedings: Image and Video Processing II, 2182(1994), 300 307. L. Chen. Discrete Surfaces and Manifolds. Scientific Practical Computing. G. Lupton, J. Oprea and N. Scoville. Homotopy theory in digital topology, preprint

Skin hyperpigmentation index facilitating quantification of hyperpigmentation in clinical practice
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distances, and use of different devices. As a result, we recently presented an advanced digital image processing system called the skin hyperpigmenta- tion index (SHI) for the automated quantification of skin hyperpigmentationOne is to extract visual features in digital image for pattern classification by using deep learning methods, the other is to extract visual 2. We firstly employ image processing to cope with foggy images for artifacts removal [3 32], then import the preprocessed images into a

Homotopic Digital Rigid Motion: An Optimization Approach on Cellular Complexes⋆
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Border processing In general, the complex H (resp This be caused by the non-existence of a solution, under the topological constraints, in the context of a finite support image Page 11. Homotopic Digital Rigid Motion: An Optimization Approach on Cellular Complexes 11

Applications of the digital technologies in textile and fashion industry
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Ngan, GKH Pang, and NHC Yung, Automated fabric defect detection A review, Image and Vision Innovating fashion industry through digital transformation, RJTA, vol H.-C. Kim, and R. Wicker, Multi-material stereolithography, Journal of Materials Processing Technology, vol

An Image Enhancement Algorithm Based on Fractional-Order Phase Stretch Transform and Relative Total Variation
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e output phase prototype of the filter shows the change in image intensity value in the spatial domain, and the edge detection can be achieved after the thresholding and mor- phological processing of the phase prototype. Figure 1 shows the process of digital image edge de

Single-Cell Conventional Pap Smear Image Classification Using Pre-Trained Deep Neural Network Architectures
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As depicted in the pipeline of this study (see Figure 6), during the data pre- processing stage 182 all images were resized to 128×128 before being fed to the classification models to keep the 183 pre-trained architecture requirements. Image normalization was done to keep the

Introduction to Machine Learning and Internet of Things for Management in Agriculture
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in agriculture are digital soil maps, predictive models for yield prediction, identification of pest and disease infestation through image analysis, identification of weeds through hyperspectral image analysis, species recognition through digital image processing of leaves and floral images related to an area of interest from some external source for performing any kind of image processing To work on any particular disease, we have got to prepare our own image archive better to visit farms and take pictures of the diseased plants using any digital cameras