IEEE 2019 : Image Processing Projects

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We are providing IEEE projects for B.E / B.TECH, M.TECH, MCA, BCA, DIPLOMA students from more thantwo decades.Image processing Efficient Quantum Information Hiding for Remote Medical Image SharingAbstract : Information hiding aims to embed secret data into the multimedia, such as image, audio, video,  and text. In this paper, two new quantum information hiding approaches are put forward. A  quantum stenography approach is proposed to hide a quantum secret image into a quantum  cover image. The quantum secret image is encrypted first using a controlled-NOT gate to  demonstrate the security of the embedded data. The encrypted secret image is embedded into the  quantum cover image using the two most and least significant qubits. In addition, a quantum  image watermarking approach is presented to hide a quantum watermark gray image into a  quantum carrier image. The quantum watermark image, which is scrambled by utilizing Arnold’s  cat map, is then embedded into the quantum carrier image using the two least and most  significant qubits. Only the watermarked image and the key are sufficient to extract the  embedded quantum watermark image. The proposed novelty has been illustrated using a scenario  of sharing medical imagery between two remote hospitals. The simulation and analysis  demonstrate that the two newly proposed approaches have excellent visual quality and high embedding capacity y and security.

For more IEEE Projects details and Offers Contact:9591912372 Data mining projects for mtech Data Science projects data mining projects for cse pdf Data projects 2019


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1. Defect Detection In Ceramic Tiles

2. Fruit Recognition Using Color Analysis

3. Signature Verification System

4. Image Authentication Based On Watermarking Approach

5. Person Identification Based On Teeth Recognition

6. Traffic Signs Detection Using Matlab

7. Digital Watermarking To Hide Text Messages

8. Symbol Recognition Using Matlab

9. Hand Gesture Recognition Project

10. Orange Fruit Recognition Using Image Segmentation

11. Optical character extraction under different illumination conditions

12. Diabetic Retinopathy Detection From Retinal Images

13. Cursor Movement On Object Motion

14. Brain Tumor Detection Using Image Segmentation

15. Audio Frequency Generator & Response Analyzer

16. Image Retrieval Using Feature Extraction

17. Vehicle Number Plate Extraction Using OCR

18. Railway Track Fault Detection Project

19. Bone Fracture Detection System

20. Image Blurring & Deblurring With Noise Removal

21. Wall Crack Detection Using Matlab

22. CCTV Theft Detection & Tracking

23. Object Tracker Based on Color

24. Dental Caries Detection System


Warning Third argument of the cv2.warpAffine() function is the size of the output image, which should be in the form of (width, height). Remember width = number of columns, and height = number of rows.

Efficient Quantum Information Hiding for Remote Medical Image Sharing

To find this transformation matrix, OpenCV provides a function, cv2.getRotationMatrix2D. Check below example which rotates the image by 90 degree with respect to center without any scaling.

An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images

Affine Transformation In affine transformation, all parallel lines in the original image will still be parallel in the output image. To find the transformation matrix

Visual Secret Sharing Schemes Encrypting Multiple Images

we need three points from input image and their corresponding locations in output image. Then cv2.getAffineTransform will create a 2x3 matrix which is to be passed to cv2.warpAffine.

Computer Assisted Segmentation of Palmprint Images for Biometric Research

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Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted ImagesAbstract : Reversible data hiding in encrypted images (RDHEI) is an effective technique to embed data in the encrypted domain. An original image is encrypted with a secret key and during or after its transmission, it is possible to embed additional information in the encrypted image, without knowing the encryption key or the original content of the image. During the decoding process, the secret message can be extracted and the original image can be reconstructed. In the last few years, RDHEI has started to draw research interest. Indeed, with the development of cloud computing, data privacy has become a real issue. However, none of the existing methods allows us to hide a large amount of information in a reversible manner. In this paper, we propose a new reversible method based on MSB (most significant bit) prediction with a very high capacity. We present two approaches, these are: high capacity reversible data hiding approach with correction of prediction errors (CPE-HCRDH) and high capacity reversible data hiding approach with embedded prediction errors (EPE-HCRDH). With this method, regardless of the approach used, our results are better than those obtained with current state of the art methods, both in terms of reconstructed image quality and embedding capacity 

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Visual Secret Sharing Schemes Encrypting Multiple ImagesAbstract : The aim of this paper is to maximize the range of the access control of visual secret sharing (VSS) schemes encrypting multiple images. First, the formulation of access structures for a single secret is generalized to that for multiple secrets. This generalization is maximal in the sense that the generalized for-mulation makes no restrictions on access structures; in particular, it includes the existing ones as special cases. Next, a sufficient condition to be satisfied by the encryption of VSS schemes realizing an access structure for multiple secrets of the most general form is introduced, and two constructions of VSS schemes with encryption satisfying this condition are provided. Each of the two constructions has its advantage against the other; one is more general and can generate VSS schemes with strictly better contrast and pixel expansion than the other, while the other has a straightforward implementation. Moreover, for threshold access structures, the pixel expansions of VSS schemes generated by the latter construction are estimated and turn out to be the same as those of the existing schemes called the threshold multiple-secret visual cryptographic schemes. Finally, the optimality of the former construction is examined, giving that there exist access structures for which it generates no optimal VSS schemes.

For Outstation Students, we are having online project classes both technical and coding using net-meeting software

Translation is the shifting of object’s location. If you know the shift in (x,y) direction, let it be (t_x,t_y), you can create the transformation matrix \textbf{M} as follows:

Image Acquisition:

Image reconstruction techniques are used to create 2-D and 3-D images from sets of 1-D projections. These reconstruction techniques form the basis for common imaging modalities.Compression:Secured data is secretly transmitted and guarded by the process of compression with algorithms.Benefits of Image Processing processing of image is faster and cost effectiveeffectively stored and efficiently transmittedimage processing In electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a set of characteristics or parameters related to the imageimage-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Opportunities and Advantages of Image Processing Services:Image Scanning Services: Image processing services incorporate scanning of images from different printed versions to be utilized laterImage size alterations and cropping: The modifications of colors include extremely normal and broadly utilized utilizations of the image processing service which empowering the changes colors as indicated by one’s preferencesRemovals of unwanted elements: A few images can be made more significant and easy to use by removing the undesirable components from the images. The image processing service empowers this taskAdjusting image resolutions: Images should be clear and perfect to make the coveted impact. This clarity in the image can be reestablished by altering the image resolutionImage processing with 3D technology: 3D technology has given another shape to the image processing services and with this one can make the 360 degree turning images that are prepared to be utilized for advertising and promotional servicesAdditional Services: There are different advanced image processing services which incorporate digital techniques to make the coveted impact in the imagesSummaryUser Rating5 based on 2 votes Service TypeIEEE 2018-2019 : Image Processing ProjectsProvider CSE, ECE, ISE, Mechanical EngineeringDescriptionis guiding PHD, M.Tech, BE, MCA, BCA, Diploma students in their academic projects and supported the students in various innovations. For final year students provide project training in domain knowledge and technical knowledge and guided them in their final year & mini projects.BE / MTech InternshipIOT – Robotic InternshipAndroid Mobile App Internship Web Programming Internship Python InternshipSoftware TrainingCore JavaAdvanced Java (J2EE)Spring & Hibernate Android ProgrammingPython ProgrammingR Language ProgrammingMATLAB ProgrammingAcademic ProjectsFinal Year Projects for BEFinal Year Projects for MTechFinal Year Projects for DiplomaFinal Year Projects for MCAFinal Year Projects for BCAMini Projects

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For perspective transformation, you need a 3x3 transformation matrix. Straight lines will remain straight even after the transformation

Image Classification using Manifold Learning Based Non-Linear Dimensionality Reduction

Bring Your Own Picture for Securing Graphical Passwords24. IEEE 2016: Accurate Detection and Recognition of Dirty Vehicle Plate Numbers for High-Speed Applicationss believes in students’ stratification, we first brief the students about the technologies and type of Image Processing projects and other domain projects. After complete concept explanation of the IEEE Image Processing projects, students are allowed to choose more than one IEEE Image Processing projects for functionality details. Even students can pick one project topic from Image Processing and another two from other domains like Image Processing, data mining, image process, information forensic, big data, Image Processing, Image Processing, data science, block chain etc. proje is a pioneer institute in Bangalore / Bengaluru; we are supporting project works for other institute all over India. We allow the ECE, CSE, ISE final year students to use the lab and assist them in project development work; even we encourage students to get their own idea to develop their final year projects for their college submission. first train students on project related topics then students are entering into practical sessions. We have well equipped lab set-up, experienced faculties those who are working in our client projects and friendly student coordinator to assist the students in their college project works.We appreciated by students for our Latest IEEE projects & concepts on final year Image Processing projects for ECE, CSE, and ISE departments.Latest IEEE 2018-2019 projects on Image Processing with real time concepts which are implemented using Java, MATLAB, and NS2 with innovative ideas. For Image Processing project details.IMAGE PROCESSINGImage processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, such as a photograph, the output of image processing may be either an image or a set of characteristics or parameters related to the image.Most image-processing techniques involve isolating the individual color planes of an image and treating them as two-dimensional signal and applying standard signal-processing techniques to them. Images are also processed as three-dimensional signals with the third dimension being time or the z-axis.Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them.

Technics Used in IMAGE PROCESSING Projects

The acquisition of images (producing the input image in the first place) is referred to as imaging.Technics Used in IMAGE PROCESSING ProjectsImage AcquisitionPreprocessingEnhancementAnalysisReconstructionCompressionImage Acquisition:Image acquisition or Digital imaging is the creation of photographic images, such as of a physical scene or of the interior structure of an object.Modern Technologies used for Image ProcessingImage sharpen & reinstatement –Image sharpens & reinstatement is the procedure of images which is capture by the contemporary camera making them an improved picture or manipulating the pictures in the way to get chosen product. This comprises the zooming process, the blurring process, the sharpening process, the gray scale to color translation process, the picture recovery process and the picture identification process.Facial Recognition –Face recognition is a PC innovation that decides the positions and sizes of human faces in self-assertive digital pictures. It distinguishes facial components and overlooks whatever, for example, structures, trees & bodies.Remote detection –Remote detecting is little or substantial scale procurement of data of article or occurrence, with the utilization of recording or ongoing detecting apparatus which is not in substantial or close contact with an article. Practically speaking, remote detecting is face-off accumulation using an assortment of gadgets for collecting data on particular article or location.Pattern detection –The pattern detection is the study or investigation from picture processing. In the pattern detection, image processing is utilized for recognizing elements in the images and after that machine study is utilized to instruct a framework for variation in pattern. The pattern detection is utilized in computer-aided analysis, detection of calligraphy, identification of images, and many more.Color processing –The color processing comprises processing of colored pictures and diverse color locations which are utilized. This moreover involves study of transmit, store, and encode of the color pictures.Preprocessing:Preprocessing is the step taken before the major image processing task. The problem here is to perform some basic tasks in order to render the resulting image more suitable for the job to follow. In this case it may involve enhancing the contrast, removing noise.Enhancement:Enhancement is the modification of an image to alter impact on the viewer. Generally enhancement distorts the original digital values.The enhancement process alters the visual impact that the image has on the interpreter in a fashion that improves the information content.Contrast enhancementEdge enhancementAnalysis:Classifies and segments the image. Restoration with mathematical model improves the images appearance.Reconstruction:

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