Here is the list of best image processing projects for students community.
What is Image processing ?
Image processing is a method to perform some operations on an image, to enhance or extract.It is a rapid growing technology and a part of an artificial intelligence
Best Image Processing Projects Collection
Best Student projects in Image processing ?
- License plate recognition
- Face Emotion recognition
- Face recognition
- Cancer detection
- Object detection
- Pedestrian detection
- Lane detection for ADAS
- Blind assistance systems
- Gesture recognition
- Drowsy driver detection
The objective of the project is to design an efficient algorithm to recognize the License plate of the car using SVM.
Real time Face Emotion Recognition Using Matlab
This project recognition the emotion in real time camera.The code was implemented in Matlab
Driver fatigue is a significant factor in a large number of vehicle accidents. The aim of this project is to develop a prototype drowsiness detection system. The focus will be placed on designing a system that will accurately monitor the eye movements of a driver in real-time. By monitoring the eye movements, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident.
In this image processing project, human actions namely ‘walking’, ‘jogging’,’running’, ‘boxing’,’hand waving’, and ‘hand clapping’ using image processing algorithm
This project explains breast cancer detection using neural networks .MIAS database has been used for testing the performance of the system
In this project handwritten recognition system was implemented using Adaboost algorithm.
In this project Kidney stone is detected in ultrasound images using matlab.
In this project a deep learning technique is used to detect the curved path in autonomous vehicles.
In this project an effective method to perform Off-line signature verification using unique structural features extracted from the signature’s contour.
This project proposes Densent,VGG-like network for detection of lung cancer
In this project we are proposing a novel technique for encrypting a message for network security application. Here we are applying both RSA algorithm and LSB steganography method for message to provide higher security. This algorithm was developed using Matlab.
In this Image processing project a deep learning-based model is proposed ,Deep neural network is trained using public dataset containing images of healthy and diseased crop leaves. The model serves its objective by classifying images of leaves into diseased category based on the pattern of defect.
In this Deep learning project a novel method for detecting lung nodule using deep learning technique is proposed.
In this project we have used Deep learning based sign language recognition system.
Image compression is a key technology in transmission and storage of digital images because of vast data associated with them. In this project a color image compression scheme based on discrete wavelet transformation (DWT) is proposed.
In this project artificial intelligence is used to help fight against childhood malnutrition.
In this project image category is identified using bag of features
In this project skin cancer is detected using image processing
In this project an Automated Attendance Marking System is designed using Face detection and Recognition technology Using Matlab Code
In this project fake currency is detected using Image processing
In this project liver tumor detection is done using matlab
The purpose of the project is to localize that portion of the acquired image that corresponds to an iris . In particular, it is necessary to localize that portion of the image derived from inside the limbus and outside the pupil.
To design a iris recognition system based on an empirical analysis of the iris image and it is split in several steps using local image properties.
Steganography is a branch of information hiding which allows the people to communicate secretly.
In this project text is extracted from the images using OCR , then the extracted text is given as the input for speech conversion.
Skin Disease detection using Matlab