- Advanced Image Fusion Techniques
- Image and Signal Denoising Methods
- Photoacoustic and Ultrasonic Imaging
- Image Retrieval and Classification Techniques
- IoT-based Smart Home Systems
- Smart Parking Systems Research
- Face recognition and analysis
- Image Processing Techniques and Applications
- Infection Control and Ventilation
- Infrared Thermography in Medicine
- Optical Imaging and Spectroscopy Techniques
- Medical Image Segmentation Techniques
- Tactile and Sensory Interactions
- Image Enhancement Techniques
- Smart Grid Energy Management
- COVID-19 diagnosis using AI
- Colorectal Cancer Screening and Detection
- Smart Agriculture and AI
- Digital Imaging for Blood Diseases
Mawlana Bhashani Science and Technology University
2020-2023
Uttara University
2019
In medical ultrasound imaging, speckle noise is an important property since it usually involves worsening the image resolution along with contrast, thus reducing diagnostic significance of imaging modality. The "RobustDespeckling" method, which has been proposed in this study to reduce noise, extracting noise-only signal from through applying bidimesional empirical mode decomposition (BEMD) method and wavelet transform (WT) encapsulated way. Then, coefficients are thresholded filter noisy by...
Speckle noise is a significant property of medical ultrasound imaging, and it typically degrades the resolution contrast images, sinking diagnostic importance imaging modality.As consequence, filtering speckle in images critical step for further analysis by experts.In this paper, technique have been suggested via wavelet thresholding denosing images.For each coefficient, first step, two optimal threshold parameters are estimated through genetic algorithm fisher discriminant respectively.In...
On the edge of worldwide public health crisis, COVID-19 disease has become a serious headache for its destructive nature on humanity worldwide. Wearing facial mask can be an effective possible solution to mitigate spreading virus and reduce death rate. Thus, wearing face in places such as shopping malls, hotels, restaurants, homes, offices needs enforced. This research work comes up with surveillance system utilizing mechanism modern computations like Deep Learning (DL), Internet things...
In some African and Middle Eastern countries, they are severely affected in the agricultural field by locust, causing innumerable damage to economic growth. Agricultural Robot (Agribot) can be one of feasible solution for this problem. On contrary, The Internet Things (IoT) plays a significant role agriculture with its promising features such as real-time data monitoring deep learning mechanisms lead an agile object detection like insect classification recognition. This study reflects astute...