Top 7 Image Processing Projects

Image processing operations are the processes that are being undertaken for the sole purpose of improving or extracting insightful information from any image taken. It is an integral part of AI- Artificial Intelligence. In this article, we will discuss the top 7 image processing projects which help any students to learn and master the basic skillsets required to execute projects related to the indicated top 7 image processing projects.

Here are the Top 7 Image Processing Projects to learn and master the skillsets of students:

1. Crowd Detection Camera to Prevent Covid-19 

The spread of COVID-19 pandemic has resulted in several consequences ever since its inception in the year 2020, due to which it is necessary to take steps to cut down its spread by adopting proper futuristic preventive measures. 

One of the important preventive measures of COVID-19 is maintaining social distancing by reducing the quantum of people getting crowded in peak areas. In this research instance, we will be integrating applicable type of camera; bunch of sensory devices in wireless mode; and microcontroller like Raspberry Pi to detect the crowding of people to ensure the social distancing procedures.

For the execution of any image processing projects, one should realize various kinds of image processing and realize the required expertise. The diverse kinds of image processing include: segmentation, enhancement, deionizing, compression, detection, retrieval, etc. Likewise, required expertise for the execution of any image processing projects include: sensory devices, wireless devices, cloud computing, embedded circuitries, etc. 

2. Segmentation and Classification of Melanoma Skin Cancer using Deep Learning Techniques 

Diagnosis of cancer is always daunting, especially diagnosing the early staged cancers are tough with conventional diagnostic techniques.

With the deployment of deep learning approaches (CNN- Convolutional Neural Network), better cancer segmentation as well as the classification of the skin cancer cells are possible by making use of image processing with MATLAB.

For the execution of any image processing projects, one should realize various kinds of image processing and realize the required expertise. The diverse kinds of image processing include: segmentation, enhancement, deionizing, compression, detection, retrieval, etc. Likewise, required expertise for the execution of any image processing projects include: sensory devices, wireless devices, cloud computing, embedded circuitries, medical systems, deep learning, etc.

3. Weed Identification Using Deep Learning and Image Processing in Vegetable Plantation

In the agricultural sector, the prevalence of weeds is considered as the problem that contributes to the undesirable loss of yields. 

By making use of a novel and enhanced deep learning methodology known as YOLO v22 along with appropriate image processing procedures, the undesirable crop yield losses are cut down by properly identifying the existence of weeds in any varieties of plants. 

For the execution of any image processing projects, one should realize various kinds of image processing and realize the required expertise. The diverse kinds of image processing include: segmentation, enhancement, deionizing, compression, detection, retrieval, etc. Likewise, required expertise for the execution of any image processing projects include: sensory devices, wireless devices, cloud computing, embedded circuitries, plants, deep learning, etc.

Must Read: IEEE Project Papers for ECE

4. An Adaptive Image Steganography Method Based on Histogram of Oriented Gradient and PVD-LSB Techniques 

Security is the important aspect in any kind of applications and image-based applications are not the exception for that.

By integrating image processing-based approaches like HOG- Histogram of Oriented Gradient as well as substitution with PVD-LSB- Pixel Value Differencing- Least Significant Bit, the protection of the image is ensured. Furthermore, Steganography is used to enhance the security of the image.

For the execution of any image processing projects, one should realize various kinds of image processing and realize the required expertise. The diverse kinds of image processing include: segmentation, enhancement, deionizing, compression, detection, retrieval, etc. Likewise, required expertise for the execution of any image processing projects include: sensory devices, wireless devices, cloud computing, security systems, etc. 

5. Identification of currency with artificial intelligence techniques 

Many advanced technologies have been developed for the sake of benefiting the society. However, such technologies are the sole reason for developing the untraceable fake currency notes.

With the proper deployment of image processing and use of AI- Artificial Intelligence approaches like SVM- Support Vector Machine, the fakeness in the Indian currency notes could be easily identified by processing the taken datasets with MATLAB.

For the execution of any image processing projects, one should realize various kinds of image processing and realize the required expertise. The diverse kinds of image processing include: segmentation, enhancement, deionizing, compression, detection, retrieval, etc. Likewise, required expertise for the execution of any image processing projects include: sensory devices, wireless devices, AI, cloud computing, currency notes, embedded circuitries, etc. 

Read: Top 5 PIC16F77A Projects for Embedded Students

6. Determination and Analysis of Arthritis Using Digital Image Processing Techniques 

Arthritis is the most common ailment in human beings which is caused due to several reasons including accidents, ageing, joint injuries, etc. Thus, screening of the larger population might be difficult at times with MRI- Magnetic Resonance Imaging tests.

Advanced image processing approaches such as log edge identification, canny edge identification, control points variation, and B-spline could be deployed to easily identify the risks of Arthritis with raised effectiveness than MRI test could give the physicians.

For the execution of any image processing projects, one should realize various kinds of image processing and realize the required expertise. The diverse kinds of image processing include: segmentation, enhancement, deionizing, compression, detection, retrieval, etc. Likewise, required expertise for the execution of any image processing projects include: sensory devices, wireless devices, medical care systems, human physiology, cloud computing, embedded circuitries, etc. 

7. Detection of Blood Cells in Human Blood Samples Using Microscopic Images 

Much higher technical expertise is needed for the physicians in order to diagnose the abnormalities in the patients when assessing the blood samples. 

Therefore, recent image processing methodologies such as morphological processes, thresholding, improvement of contrast, etc. could be inculcated into the diagnosing that assesses the blood samples of the patients.

For the execution of any image processing projects, one should realize various kinds of image processing and realize the required expertise. The diverse kinds of image processing include: segmentation, enhancement, deionizing, compression, detection, retrieval, etc. Likewise, required expertise for the execution of any image processing projects include: sensory devices, wireless devices, cloud computing, embedded circuitries, medical care systems, human physiology, etc.

Also Try: Top 5 Raspberry Pi Projects