Sumit Srivastava

Learn More
Image processing is basically the use of computer algorithms to perform image processing on digital images. Digital image processing is a part of digital signal processing. Digital image processing has many significant advantages over analog image processing. Image processing allows a much wider range of algorithms to be applied to the input data and can(More)
We report on achieving multi-rate, dynamic, sub-wavelength provisioning of VoIP, video, storage and data services over Strongly connected Light-trails (SLiTs). A novel service differentiation subsystem and associated control are discussed and test-bed results are presented.
In present times software reengineering has become an important domain of research to increase the shelf life of legacy system. The major objective for reengineering revolves around reducing the cost of investment in Information Technology (IT) infrastructure by reducing the maintenance cost and capitalizing on the current existing IT infrastructure. This(More)
As the increase of wireless networks, use of mobile phones, smart devices are gaining popularity so the adhoc network is also a uprising field. Each device in a MANET is free to move independently in any direction, linking to other devices frequently. Each must forward traffic unrelated to its own use, and therefore be a router.. This paper describes the(More)
We present an automated system for detecting surface defects on OLED panels. These panels exhibit varying textures and patterns which complicates the defect detection process. These detection systems have to be highly accurate and reliable as even a small error in detection can cause huge losses. In this paper, we present a method for detection of OLED(More)
Fluorescence quenching of CdSe-ZnS quantum dots (core-shell QDs) is shown to be affected in the presence of cobalt(III) complexes with pyridyl anchors. Steady-state and time-resolved fluorescence spectra indicate that the quenching has primarily a static component. The decrease in photoluminescence intensity can be best explained by charge transfer from the(More)
This paper proposes a stereo matching algorithm based on hierarchical belief propagation and occlusion handling. We define a new order for message passing in belief propagation instead of the scanline approach. The primary assumption is that a pixel with a well-defined minimum in its likelihood field is more likely to contain a correct disparity, when(More)
This manuscript is focus on the utilization of object detection algorithm GLAC (Gradient Local Auto-Correlation) for the handwritten character recognition (HCR) problem. HOG and SIFT are already used in this (HCR) field except GLAC which produced good results than HOG and SIFT for object detection problem like human in images, pedestrian detection and image(More)
Here Formant Based Linear Prediction Coefficient (FBLPC) features are proposed for speaker identification for all environments. Gaussian Mixture Models (GMMs) are used for classification of speakers. The identification performance of Linear Prediction Coefficient (LPC) features is computed and compared with the identification performance of FBLPC features.(More)