Online Store - 8925533488 /89

Chennai - 8925533480 /81

Hyderabad - 8925533482 /83

Vijayawada -8925533484 /85

Covai - 8925533486 /87

Top 100 Image Processing Projects

WhatsApp Image 2021 08 14 at 7 15 31 PM

What is Image Processing

The method of image processing is used to do some process on a picture like to remove some functional data from the image. Image processing is one kind of signal processing, i.e.; where the input is a picture, as well as the output, are features allied with the image.

Top 100 Image Processing Projects

  1. Tamil character recognition using Deep learning
  2. Distance measurement using Image processing
  3. Intelligent Baby Monitoring System using Image Processing
  4. Multimodal Biometric Recognition system
  5. MATLAB Code for Finger print recognition
  6. MATLAB Code for Image Encryption
  7. MATLAB Code for Vein Detection System
  8. MATLAB Code for Head Pose Recognition
  9. MATLAB Code for Segmentation based on Skin Color
  10. Real Time Bar Code Recognition using MATLAB
  11. MATLAB Code for Shape Recognition using Correlation
  12. MATLAB Code for Coin Recognition using Image Processing
  13. Flowers classification using Transfer Learning
  14. Corner Detection using Image Processing
  15. Gender Recognition using Image Processing
  16. MATLAB Code for Image Thresholding
  17. Region growing segmentation using MATLAB
  18. Image Segmentation using Snake Algorithm
  19. Image Segmentation using Morphological Operations
  20. Image Denoising using Pretrained Neural Network-MATLAB
  21. Image Deblocking using Deep Learning
  22. Scene Change Detection using MATLAB
  23. Object Detection in a Cluttered Scene
  24. Digit Classification Using HOG Features
  25. Image Registration using MATLAB
  26. Video Tracking using Optical Flow
  27. Video Tracking using Kalman Filter
  28. Image Category Classification using Deep Learning
  29. MATLAB Code for Landmark Recognition using Deep Learning
  30. MATLAB Code for Depth Estimation using Image Processing
  31. MATLAB Code for Logo Recognition
  32. Vehicle Identification Using Deep learning for ADAS
  33. MATLAB Code for Wavelet Denoising
  34. MATLAB code for pothole detection using Image processing
  35. MATLAB code for Watershed Segmentation
  36. MATLAB Code for Real time QR Code recognition
  37. MATLAB for Image Super Resolution
  38. Image Classification using GoogLeNet for Visually Impaired

 

  1. Tamil character recognition using Deep learning

The classification of Tamil character recognition using Deep learning classify characters in a south Indian language i.e.; into different classes. This knowledge needs to be transferred to computers for automatic character recognition.

 

  1. Distance measurement using Image processing

The technique about measurement distance between vehicles to vehicles. The systems can be compared i.e.; with data stored in the database as reference.

 

  1. Intelligent Baby Monitoring System using Image Processing

Baby monitoring system using image processing which is used for proper safety and monitoring the activity of baby. The system detects the motion, crying and present position of the baby.

 

  1. Multimodal Biometric Recognition system

Multimodal biometric is the usage of multiple biometric indicators by personal identification systems for identifying the individuals.

 

  1. MATLAB Code for Finger print recognition

Fingerprint recognition is a widely used Biometric Identification mechanism. It is used to utilize a significant component of the rich discriminatory information available in the fingerprints.

 

  1. MATLAB Code for Image Encryption

The experimental result shows the proposed algorithm can successfully encrypt the images i.e.; with separate secret keys, and the algorithm has good encryption effect. It provides an additional level of security to public key algorithm and efficient utilization of memory.

 

  1. MATLAB Code for Vein Detection System

It aims at developing a system for acquiring images of finger veins and processing using MATLAB for the purpose of authentication. This includes i.e.; designing of hardware for image acquisition, coding the matching algorithm for processing the finger vein pattern and testing of algorithm module.

 

  1. MATLAB Code for Head Pose Recognition

It provides annotated head poses in the process and generate a realistic head pose dataset by rendering techniques, in which it considers the variation of i.e.; gender, age, race and expression.

 

  1. MATLAB Code for Segmentation based on Skin Color

The segmentation of skin regions from an image is done by using different color models. Skin regions are separated from the image by using thresholding. It is tested by using human face features based on knowledge of geometrical properties of human face.

 

  1. Real Time Bar Code Recognition using MATLAB

The barcode recognition performs a search on some selected rows of the input image. The pixels are marked with a feature value, the sequences of patterns are analyzed. It identifies the guard patterns and symbols by sequence and location.

 

  1. MATLAB Code for Shape Recognition using Correlation

It is embedded in a cluttered background and the image is corrupted by additive sensor noise. The designed filters are used to detect the target in an input scene modeled by the nonoverlapping signal model.

 

  1. MATLAB Code for Coin Recognition using Image Processing

The various techniques of coin recognition systems in respective terms of accuracy. It focused on different coin recognition approaches based on image recognition method.

 

  1. Flowers classification using Transfer Learning

Flower image classification is based on the low-level features to define and describe the image content. It analyzes the classification of performance of the dataset using transfer learning.

 

  1. Corner Detection using Image Processing

It is analyzed and calculated, i.e.; which shows that improved algorithm acquires better efficiency and accuracy in corner detection. The points are calculated and compared with the set threshold value to certify the real corner.

 

  1. Gender Recognition using Image Processing

It is used extensively in several problems domains. Automated gender classification is an area of great significance and has great potential for future research. It offers several industrial applications such as monitoring, surveillance, commercial profiling and human computer interaction.

 

  1. MATLAB Code for Image Thresholding

Image thresholding is a simple and effective, way of partitioning an image into a foreground and background. Its analysis of image segmentation that isolates objects by converting into binary images. It is most effective in images with high levels of contrast.

 

  1. Region growing segmentation using MATLAB

Region growing is popularly used algorithm is active contour, i.e.; which examines neighboring pixels of initial seed points and determines whether the pixel should be added to the region.

 

  1. Image Segmentation using Snake Algorithm

Using the snake algorithm, specify the initial curves on an image. It is required to segment the medical images. It is the process of separation of required information from a data for further processing.

 

  1. Image Segmentation using Morphological Operations

Image segmentation is to extract various features that are used for analyzing, interpretation and understanding of images. It is applied in various applications like medical imaging, shape detection, content-based image retrieval, robot vision.

 

  1. Image Denoising using Pretrained Neural Network-MATLAB

It is a step by investigating the construction of feed-forward denoising using neural networks i.e.; to embrace the progress in very deep architecture, learning algorithm, and regularization method into image denoising.

 

  1. Image Deblocking using Deep Learning

The technique that involves by applying a deblocking filter is to enhance the visual nature of a picture by diminishing the blocking artifacts. The deblocking using deep learning calculation gives a strategy to expel the ancient rarities by smoothing the sharp edges of a picture.

 

  1. Scene Change Detection using MATLAB

It is process of detecting scene changes in videos and automatically splitting the video into separate clips. It is tested on suitable video sequences resembling real-world videos to a number of different motion features and provide good performance i.e.; without requiring an increase in decoder complexity.

 

  1. Object Detection in a Cluttered Scene

The algorithm for detecting a specific object based on finding point correspondences between the reference and the target image. It can detect objects despite a scale change or in-plane rotation.

 

  1. Digit Classification Using HOG Features

A labeled dataset with images of the desired object. It is an efficient image appearance feature based approach which process the acquired digit image using Histogram of Oriented Gradients (HOG).

  1. Image Registration using MATLAB

Image registration is a technique used to align multiple scenes into a single integrated image. It helps overcome issues such as image rotation, scale, and skew that are common when overlaying images.

  1. Video Tracking using Optical Flow

Optical flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene.

  1. Video Tracking using Kalman Filter

It is a system is to detect the moving objects in the video and track detected object. It has been done using simple background subtraction and tracking of single moving object using Kalman filter.

 

  1. Image Category Classification using Deep Learning

In this Deep learning project, images are classified into categories using a multiclass linear SVM trained with features extracted from the images. It is an easy way to leverage the power without investing time and effort to use a pretrained as a feature extractor

 

  1. MATLAB Code for Landmark Recognition using Deep Learning

In order to continue advancing the state of the art in computer vision, many researchers are now putting more focus on fine-grained and instance-level recognition problems

 

  1. MATLAB Code for Depth Estimation using Image Processing

The accuracy of the depth estimation has been improved by using deep learning neural networks. However, there exist inherent ambiguities in recovering 3D from a single 2D image.

  1. MATLAB Code for Logo Recognition

Logos assist in brand identification and recognition. It incorporates the logos in advertising, documentation materials, and promotions. The logo recognition was developed in MATLAB to recognize under various conditions and camera motions.

 

  1. Vehicle Identification Using Deep learning for ADAS

The vehicle detection is implemented for ADAS system. It is a method on a sample vehicle data set and optimize the success rate by providing efficient results for vehicle detection by testing the trained vehicle detector on the test data.

 

  1. MATLAB Code for Wavelet Denoising

Discrete wavelet transform is used to denoise the geoelectrical resistivity data. It is suitable for i.e.; applying vertical electrical sounding data. The optimum performance is obtained and the result is investigated under several constraints.

 

  1. MATLAB code for pothole detection using Image processing

Image pre-processing based on clustering image segmentation methods are implemented for better results. It is to identify a better method which is highly efficient and accurate compared to the conventional methods.

 

  1. MATLAB code for Watershed Segmentation

It is a particular method of a region-based approach to the segmentation of an image. The watershed transform has been widely used in many fields of image processing, including medical image segmentation.

 

  1. MATLAB Code for Real time QR Code recognition

Barcode recognition performs a scan line as it is analyzed per pixel and marked by feature. It is marked with a feature value i.e.; the sequences of patterns are analyzed. It identifies the guard patterns and symbols by sequence and location.

 

  1. MATLAB for Image Super Resolution

It is aim to give a survey on image super-resolution techniques using deep learning approaches in a systematic way. It covers some other important issues, such as publicly available benchmark datasets and performance evaluation metrics.

0 0 votes
Customer Ratings
Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x
Open Whatsapp Chat
Need Any Help?
Hello
Welcome to Pantech eLearning!..

How can i help you?