Footfall Counter: The Footfall Counter was designed using an IR sensor and counts the number of the people present inside the room at any instant of time. With the entry of the person Counter increases the count by one and with the exit of the person Counter decreases the count by one. (Feb 2021)
Interfacing Arduino with LabView: Interfacing of arduino with LabView was done so that signals can be sent in and out of the arduino pins. With this interfacing dependency on costly hardwares of National Instruments is removed. (Dec 2020)
Automatic certificate generator and sender: Using Python, code was written to generate the participation certificate with the name of the participant and then the certificate is emailed to the participant automatically. Code takes the excel as input that contains the name and email ID of all the participants. (Sep 2020)
Image Fusion Of MR and CT Images: Brain Images obtained from two modality viz. MRI and CT were taken as input and were fused together by a code written in MATLAB, which gave an output image having more details and clear view of tissues, tumors, etc. Image fusion was implemented using two techniques viz. wavelets and a novel method using image segmentation algorithms. (Aug 2020)
Segmentation of Diaphragm from Liver ultrasound images: Project aims to segregate the diaphragm from ultrasound images. Algorithm was designed by considering the echogenicity difference of the diaphragm with respect to its nearby region. Coded in MATLAB, software designed takes ultrasound images having diaphragm as an input and produces an output as image containing only diaphragm. (Dec 2018)
Segmentation of Tumors from Liver ultrasound using IFCM based segmentation method:For the segmentation of tumors from liver ultrasound images, Iterative fuzzy C mean (IFCM) method has been proposed. Coding was done in MATLAB in such a way that the whole tumor region gets segregated just by selecting a single pixel from the tumor region. (2016)
Segmentation of Tumors from Liver ultrasound using Region Difference Filter:An improved method for the segmentation of tumors has been proposed. The method is based on region intensity differences across two regions. Segmentation results obtained are promising and have been verified by the experienced radiologist. Research paper for the same is published in the Journal of Digital Imaging. (2016)
Classification of tumors from liver ultrasound images:Classifies a set of five classes (Cyst, HCC, HEM, MET and Normal Liver) by extracting texture features followed by classification with an ensemble of 10 trained neural networks. Classification accuracy achieved is approximately 94%. (2016-17)
Su-doku Solver:Code written in C language takes input in the form of incomplete su-doku and produces an output in the form of completely solved su-soku. Algorithm used is based on a simple procedure one usually followed while solving the su-doku manually. (2006)
