Priyadarshi Kanungo

C. V. Raman Global University · Electronics and Communication Engineering

The integration of high data transmission rates and the recent digital multimedia technology, paves the way to access a huge amount of video over the internet, in seconds. Additionally, uploading videos to different websites is no more confined to expert software professionals resulting in duplication of video data which led to exorbitant growth of...

Medical imaging plays a vital role in detecting and treating brain tumors. Malignant or nonmalignant brain tissue’s abnormal growth causes long-term brain damage. It is crucial to detect and properly categorize the kind of brain tumor. Specialists normally use MRI to create high-contrast grayscale brain images to segment them. Convolutional neural...

Thresholding-based two-class image binarization is one of the simplest and most popular approaches. However, the performance of global thresholding degrades under non-uniform lighting conditions. Local thresholding methods are widely used for binarizing uneven light images. The appropriate choice of the initial size of the window and designing the...

A brain tumor is one of the most serious causes of death worldwide. Early detection of the tumor is a challenging task for the radiologist and also for the researchers so that many valuable lives can save. Therefore, diagnosis and classification of tumors from MRI images are more important to assist radiologists and can become a gold standard non-i...

An efficient video shot boundary detection is highly desirable for subsequent semantic video content analysis and retrieval applications. The major challenge of shot boundary detection problem is an appropriate choice of features to handle the illumination variation and motion artifacts of frames while finding the boundary in a shot. In this paper,...

Several techniques have been developed in recent times for shot boundary detection with reliable performances in the detection. Different features are used for the evaluation of the feature difference between two consecutive frames. In this paper, an effort has been made to generalize the appropriate distribution of any feature similarity used in t...

Kar, T.Kanungo, P.Jha, VinodShot boundary detection is the first and the most crucial step towards video content management applications including indexing, retrieval and summerisation. In this paper, an abrupt transition detection algorithm has been proposed based on phase congruency feature of the frames. The phase congruency feature is insensiti...

Image binarization of uneven lighted images, using thresholding techniques, is still a challenging task. Adaptive thresholding methods are the widely adopted approaches for binarization of uneven lighting images. However, the efficacy of these adaptive thresholding methods is highly sensitive to the criteria function used for measuring the bimodal...

During the spread of the Corona epidemic, everyone started wearing masks as protection in public places. Therefore, this causes a major challenge in authentication and safety systems, such as face recognition systems in railway stations, airports, and payment systems based on facial recognition technologies. Face recognition systems are safer than...

Selection of appropriate size of windows or subimages is the most important step for thresholding images with non-uniform lighting. In this paper, a novel criteria function is developed to partition images into different size of sub images appropriate for thresholding. After the partitioning, each subimage is segmented by Otsu’s thresholding approa...

Lane detection (LD) under different illumination conditions is a vital part of lane departure warning system and vehicle localization which are current trends in the future smart cities. Recently, vision-based methods are proposed to detect lane markers in different road situations including abnormal marker cases. However, an inclusive framework fo...

Lane detection is considered as a key component for the autonomous vehicles of futuristic transport systems. The extraction and fitting problems of lane markers from the road images have been addressed in recent research studies. However, these are still ineffective under curved lane and color light conditions. Illumination changes and the road str...

With the increase in demand for video conferencing and IOT applications, efficient video coding standards are necessary. The performance of MPEG-4 coding scheme depends on the efficiency of the video object plane (VOP) generation methods. In head and shoulder video, such as news reading, video conferencing video sequences, the object has a very lit...

Abstract: Advancement of technology in the field of Character Recognition have emerged as the key technology which has helped the entire industrial space in many ways including digitization of hand written manuscripts, postal automation, text to speech conversion to help the blind. Today character recognition has emerged and is available for severa...

Food is the basic necessity of every living being, unfortunately, vegetables and fruits became harmful because of the overuse of pesticides. Toxins are unsuccessfully spread in farms for increasing the harvest amounts and quantities, needless to say, that causes serious health problems. Therefore, more reliable information regarding pests should be...

Age estimation techniques by computer vision method aim to approximate automatically within an age band or the exact age of an individual from their face. As one of the main human facial characteristic, ageing plays a more intricate role than other elements such as one’s health condition, life cycle and extreme weather conditions, age prediction fr...

In the present Kar, T. an ingenious and robust method of abrupt scene change detection in video sequences Kanungo, P. presence of illumination variation based on local directional pattern is proposed. A similarity measure is developed by evaluating the difference between the new texture based feature descriptor which is compared to an automatically...

Age estimation techniques by computer vision method aim to approximate automatically within an age band or the exact age of an individual from their face. As one of the main human facial characteristic, ageing plays a more intricate role than other elements such as one's health condition, life cycle and extreme weather conditions, age prediction fr...

Moving object detection in a video sequence is the first and most important step in many computer vision applications. However, it is challenging for a machine to match with the human visual perception level. Motion information of slowly moving object is highly erroneous in comparison with fast moving object. Therefore, in real time, accurate segme...

The spontaneous proliferation of video data necessitates implementing hierarchical structures for various content management applications. Temporal video segmentation is the key towards such management. To address the problem of temporal segmentation, the current communication exploits the concept of psychological behaviour of the human visual syst...

A novel impulse noise filter that preserves the image details and effectively suppresses high-density noise has been proposed in this work. The proposed filter works in two phases: (i) noise pixel detection phase and (ii) noise pixel restoration phase. In the detection phase, the impulse noise corrupted pixels are detected using a neighbourhood dec...

Detecting and locating a desired information in hefty amount of video data through manual procedure is very cumbersome. This necessitates segregation of large video into shots and finding the boundary between the shots. But shot boundary detection problem is unable to achieve satisfactory performance for video sequences consisting of flash light an...

A miniaturized octopod with Jansen legs was designed, fabricated, and experimentally investigated to determine the foot trajectory. A novel experimental approach using image processing based evaluation was employed as a non-contact type technique to avoid adverse interference with the motion of the walker. Motion of the walker along a straight path...

This paper presents a fully automatic color image segmentation. Colors of the pixels are used to partition the color space into clusters. Firstly the dominant peaks of the histograms of Red, Green, and Blue planes are detected using a peak detection algorithm. Then dominant peaks of these three histograms are used to define the initial number of cl...

Great advancement and popularity of multimedia technology facilitates uploading and accessing thousands of videos through internet in seconds. This demands adopting efficient video data management techniques for ease of storage and browsing applications. This in turn requires an efficient method of annotation. Automatic cut detection is the elementar...

Impulsive growth of multimedia technology and popularity of social sites facilitates increasing application of video information which includes video indexing, browsing, retrieval and classification. Most of the videos, available in internet for public access are non-edited videos. Efficient way of searching and storage need an efficient method of...

Due to the popularity of multimedia technology and digital world, thousands of videos are accessed through internet in seconds. Most of the videos, available in internet for public access are non-edited videos. Efficient way of searching and storage need an efficient method of annotation. Automatic cut detection is the first stage of any automatic...

The efficacy of any intelligent transportation systems depends on efficiency of the lane detection system. This paper addressed the lane detection problem during the daytime in the NH5 of Odisha, India. In NH5, the contrast between road and lane is very low because of dust and mud layers from the side of the road and at many places, the lane markin...

Image segmentation to extract the lane information from a road scene is the most important step for any automatic guided vehicle or driving assistance system. The segmentation algorithm must be efficient and faster for the real time application. In this paper we proposed two thresholding methods based on peaks and valleys of histogram to calculate...

Image segmentation to extract the lane information from a road scene is the most important step for any automatic guided vehicle or driving assistance system. The segmentation algorithm must be efficient and faster for the real time application. In this paper we proposed two thresholding methods based on peaks and valleys of histogram to calculate...

Due to the increasing demand of internet technology and availability of high performance computers the demand for video surfing, transmission and retrieval are increasing day by day. The automatic annotation is a process which helps the browser or the user to retrieve the exact video as well as the exact shots or content based frames from a video b...

Abstract— Due to the increasing demand of internet technology and availability of high performance computers the demand for video surfing, transmission and retrieval are increasing day by day. The automatic annotation is a process which helps the browser or the user to retrieve the exact video as well as the exact shots or content based frames from...

Multi-Input Multi-Output (MIMO) wireless communication system is an emerging area which offers substantial advantages for achieving high data rate with cost effective design. The spectral efficiency and reliability of MIMO systems greatly depends on the assumption that the transmitter and/or the receiver have perfect knowledge of channel state info...

Path routing and protocol selection are the primary strategies to design any wireless network. In Mobile Adhoc Network (MANET) the selected protocol should have best in terms of data delivery and data integrity. Hence the performance analysis of the protocols is the major step before selecting a particular protocol. In this paper, the performance a...

Object background classification is the basic problem of object tracking in the computer vision area. Thresholding is the simplest approach to separate object from the background. The solutions using thresholding techniques become more complex when the image is blurred or low contrast. In this paper, we proposed a modified co-occurrence matrix for...

Nonlinear System Identification is generally used in control system, pattern recognition and optimization problem. In past the Least Mean Square Algorithm (LMS), Recursive least square (RLS), Artificial Neural Network (ANN) and Genetic Algorithm (GA) have been successfully employed for nonlinear system identification. The LMS, RLS and ANN technique...

The spectral efficiency and reliability of Multi-Input Multi-Output (MIMO) systems greatly depends on the prediction result of channel state information (CSI), such that the transmitter and/or the receiver have perfect knowledge of CSI. The employment of linear predictors used for narrow-band prediction has produced poor results in prediction of co...

In the routing strategic approach, mostly in wireless scenario, primary emphasis is given on path routing and routing protocol selection. Again in Mobile Ad hoc Network (MANET) a routing protocol is to be selected in such a way that the network can be suitably designed to give best data delivery as well data integrity. So performance analysis of th...

In this paper, two adaptive thresholding schemes have been proposed. These two schemes are based on adaptive selection of windows based on the proposed window merging and window growing. Windows are selected based on the entropy and feature entropy criterion. PGA and MMSE based segmentation schemes have been proposed to segment the windows selected...

Separation of object and background in a given scene is vital while addressing the problem of fault diagnosis. This can be viewed as a two class problem and hence an efficient classification strategy can be employed to separate object from background. The literature is rich with classification techniques, nevertheless there are rooms for improvemen...

A parallel genetic algorithm (PGA) based scheme for detection of cracks in images is proposed. The proposed segmentation scheme is a feature based one and the optimum threshold is determined from the the feature histogram. Parallel genetic algorithm (PGA) based clustering is proposed to detect two peaks and thereafter the optimal threshold is deter...

Copyright for this article belongs to the publisher of the proceedings In this paper, a novel strategy based on the notion of threshold is proposed to accomplish segmentation of objects and background in a scene. Optimal threshold for two class and three classes problems are determined from the histogram of featured pixel values as opposed to the o...

Copyright for this article belongs to Springer In this article, a new interconnection model is proposed for Parallel Genetic Algorithm based crowding scheme. The crowding scheme is employed to maintain stable subpopulations at niches of a multi modal nonlinear function. The computational burden is greatly reduced by parallelizing the scheme based o...

Copyright for this article belongs to the publisher of the proceedings Threshold plays a vital role in classification of objects and background in a given scene and hence segmentation. Determination of optimal threshold is hard for images exhibiting overlapping histogram distributions. In this paper, we propose a novel strategy of determining the t...

Copyright for this article belongs to National Institute of Technology, Rourkela In this paper the problem of image segmentation is addressed using the notion of thresholding. A new approach based on Genetic Algorithm (GA) is proposed for selection of threshold from the histogram of images. Specifically GA based crowding algorithm is proposed for d...

Copyright for this article belongs to the proceedings publishers In this paper, we address the problem of texture in image segmentation in an unsupervised frame work. Markov Random Field model is employed to model the textured images. The problem is formulated as a pixel labeling problem. The la- bels as well as the MRF model parameters are as- sum...

Copyright for this article belongs to the proceedings publisher In this article, the notion of crowding is employed to maintain stable subpopulations at niches of a multi modal nonlinear function. In this work, we have attempted to parallelize the crowding scheme and hence, propose new concepts of net topology while devising the parallel scheme bas...