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Publications (105)
This paper proposes a novel methodology of characterizing and recognizing plant leaves using a combination of texture and shape features. Texture of the leaf is modeled using Gabor filter and Gray Level Co-occurrence Matrix (GLCM) while shape of the leaf is captured using a set of Curvelet transform coefficients together with Invariant Moments. Sin...
This document contains a collection of numerical examples and problems related to the theoretical concepts covered in the book “Principles of Multimedia”, 2/e (2012).
This book introduces the concepts and principles of media processing and its applications
in pattern recognition by adopting a hands-on approach using program implementations.
The primary objective of the book is to inform the reader about the tools and techniques
using which image, audio and video files can be read, modified, and written using the...
Customer satisfaction depends on the availability of different varieties of fruits and vegetables in a supermarket store as well as the quality of this supermarket store for fruits and vegetables. The store may contain different variety of fruits and vegetables in a utopian environment. Apart from this, there are several quality parameters of a fru...
The quality of fruits and vegetable stores should be maintained with high priority for customer satisfaction. The performance evaluation of fruits and vegetable store located in a supermarket is a big challenge for the managerial personnel of the supermarket. In this paper, a new performance evaluation framework is proposed for the fruits and veget...
The optic disc is the starting point of optic nerves from the retina. It has a bright appearance in the retinal fundus image for a normal eye. In the case of some disease in the eye, optic nerves may get damaged or there can be other bright appearances in the retina whose intensity is similar or more than the optic disc. Optic disc detection is the...
The optic disc is the starting point of optic nerves from the retina. It has a bright appearance in the retinal fundus image for a normal eye. In the case of some disease in the eye, optic nerves may get damaged or there can be other bright appearances in the retina whose intensity is similar or more than the optic disc. Optic disc detection is the...
Nowadays, food safety is a global concern. This chapter elucidates various problems of fruits and vegetable processing using computer vision and machine learning as well as proposes a convolutional neural network architecture for the automated detection of rotten fruits and vegetables from an image. The convolutional neural network architecture is...
The present work proposes a methodology of machine translation system which takes English sentences as input and produces appropriate Bengali sentences as output using natural language processing (NLP) techniques. It first uses a parse tree for syntactic analysis of the sentence structure and then applies semantic analysis for extracting the meanin...
Fruits and Vegetables are very important food product for the daily life of the humans. Classification of fruits and vegetable is needed for every aspect of the agricultural industry. It is quite challenging to automatically classify fruits and vegetables from digital images. The task of automatic classification becomes more difficult when the imag...
Volume is one of the most important parameters for fruits and vegetables grading. The conventional methods of volume estimation have some shortcomings in the context of the agricultural industry. It requires a huge number of expert manual resource and a long time to estimate volume for a large number of fruits and vegetable in production. It needs...
Fruit and vegetable quality grading is a major task for successful marketing in the agricultural industry. There are many criteria to determine the quality of fruits and vegetables out of which volume and mass estimation are important ones. The current processes of volume and mass estimation have some drawbacks while considered for a large number o...
Agriculture-related works include harvesting, sorting, and packaging etc. Those works require lots of time and a huge number of expert resources for manual execution. Automation may be the solution to this problem. There are lots of challenges for the automation of those works with the help of image processing. One of the major challenges is the id...
Signature-based authentication of human is still very popular approach. Manual checking is not always accurate and it depends on expertise. The need is an automated and accurate system for signature classification. The signatures do not necessarily comprise of well-formed letters. It can be a random combination of curves and lines. The written sign...
This paper proposes a novel method for an automated classification of musical instruments based on the analysis of the audio signals generated by them. The paper studies the effectiveness and efficiency of a number of features like Mel frequency cepstral coefficients (MFCC), harmonic pitch class profile (HPCP), linear predictive coding (LPC) coeffi...
The present work proposes another path for classification of plant species from digital leaf images. Plant leaves can have an assortment of unmistakable elements like green and non-green hue, simple and compound shape and distinctive vein designed surfaces, a solitary arrangement of elements may not be sufficiently adequate for a viable classificat...
Recognition of flower species from natural images is a challenging task as it involves a significant amount of preprocessing to separate the actual flower from its surrounding background. The next big challenge is to represent these images mathematically so that a classification algorithm can be put into place to classify them. In this paper, the t...
Plant species identification is one of the most important research branches of botanical science. The current work proposes an efficient methodology for recognition of plant species from whole as well as fragmented digital leaf images. The situation becomes challenging when only a partial portion of the leaf can be obtained. Since leaves are fragil...
Automated or robot-assisted harvesting is an emerging domain of research that combines the aspects of computer vision and machine intelligence. This research is usable in monitoring, sorting and picking of fruits for ensuring faster production chain. This paper aims to analyze popular methods of auto-harvesting, categorization of fruits and propose...
Classification of fruits is traditionally done using manual resources due to which the time and economic involvements increase adversely with number of fruit types and items per class. In recent times computer based automated techniques have been used to alleviate this problem to a certain extent. These techniques utilize image analysis and pattern...
This paper proposes a novel approach for adding spatial information with local appearance features for improved classification accuracy using the Bag-of-Features approach. Spatial information can describe the probability of finding local appearance features within a sub-region of an image. Speeded-Up Robust Features (SURF), describing the appearanc...
The current work proposes a methodology for the recognition of plant species using features obtained from digital leaf images which are fragmented. Due to various environmental and biological factors leaves are fragile and prone to fragmentation. The paper studies how recognition of leaves can be effectively done when only a portion of the leaf can...
Free access : http://www.ijcaonline.org/archives/volume149/number11/lodh-2016-ijca-911587.pdf
Free access : http://www.ijcaonline.org/archives/volume148/number11/jana-2016-ijca-911283.pdf
The current work proposes an approach for the recognition of plants from their digital leaf images using multiple visual features to handle heterogeneous plant types. Recognizing the fact that plant leaves can have a variety of recognizable features like color (green and non-green) and shape (simple and compound) and texture (vein structure pattern...
The current work proposes an innovative methodology for the recognition of plant species by using a combination of shape and texture features from leaf images. The leaf shape is modeled using Curvelet Coefficients and Invariant Moments while texture is modeled using a Ridge Filter and some statistical measures derived from the filtered image. As th...
Contains discussions and illustrations on 120 commonly used MATLAB functions related to Image Processing Toolbox. Includes functions for displaying, transforming, analyzing, enhancing, restoring, filtering images. Also includes functions for calculating statistics, arithmetic operations, morphological operations, region-of-interest and block proces...
Contains discussions and illustrations on 300 commonly used MATLAB built-in functions related to Desktop Tools and Environment, Data Import and Export, Mathematics, Data Analysis, Programming and Data Types, Basic Plots and Graphs, Annotating Plots, Specialized Plotting, Handle Graphics and 3D Visualizations - See more at: http://pothi.com/pothi/bo...
This e-book contains MATLAB codes for examples related to 2D graphics (Linear splines, Quadratic splines, Cubic splines, Hermite splines, C-R splines, Cardinal splines, Bezier splines, B-splines, Blending functions, Translation, Scaling, Rotation, Reflection, Shear, Maxima Minima & Composite transformations) and 3D Graphics (Vectors like direction...
http://link.springer.com/chapter/10.1007/978-1-4614-8495-0_5
This paper addresses the problem of recognizing semantic content from images and video for content based retrieval purposes. Semantic features are derived from a collection of low-level features based on color, texture and shape combined together to form composite feature vectors. Both Manhattan distance and Neural Networks are used as classifiers...
This paper proposes an automated system for recognizing palmprints for biometric identification of individuals. Complex Zernike moments are constructed using a set of complex polynomials which form a complete orthogonal basis set defined on the unit disc. Palmprint images are projected onto the basis set resulting in a set of complex signals. The m...
This paper proposes an automated system for recognizing plant species based on leaf images. Plant leaf images of three plant types are analyzed using Gabor Filter by varying the filter parameters. Leaf images are convolved with Gabor filters followed by a separation of the real and imaginary portions of the signal. Absolute difference between the r...
This paper proposes a novel technique for palmprint recognition in context to biometric identification of a person. Palmprints are images of the inner portion of a person's palm and consist of a complex pattern of randomly oriented curves and lines. This random pattern can provide a unique identifier of a person if a mathematical model can be built...
An automated system for recognizing human skin disease conditions analyzes skin texture images using texture recognition techniques based on gray-level co-occurrence and wavelet decomposition matrices.
This paper proposes an automated system for recognizing plant species based on leaf images. Plant leaf images corresponding to three plant types, are analyzed using three different shape modelling techniques, the first two based on the Moments-Invariant (M-I) model and the Centroid-Radii (C-R) model and the third based on a proposed technique of Bi...
Semantic characterization is necessary for developing intelligent multimedia databases, because humans tend to search for media content based on their inherent semantics. However, automated inference of semantic concepts derived from media components stored in a database is still a challenge. The aim of this chapter is to demonstrate how layered ar...
This paper proposes an automated system for recognizing plant species based on leaf images. Plant leaf images corresponding to three plant types, are analyzed using two different shape modeling techniques, the first based on the Moments-Invariant (M-I) model and the second on the Centroid-Radii (C-R) model. For the M-I model the first four normaliz...
Texture is an important perceptual property of images based on which image content can be characterized and searched for in a Content Based Search and Retrieval (CBSR) system. This paper investigates techniques for improving texture recognition accuracy by using a set of Wavelet Decomposition Matrices (WDM) in conjunction with Grey Level Co-occurre...
Over the last decade there has been a huge proliferation on the use of multimedia content throughout the world. This has led to the growth of a large number digital media repositories. As such an efficient and fast mechanism for retrieval of media content from these repositories assumes fundamental importance. This paper reports the results of expe...
This paper proposes an automated system for recognizing disease conditions of human skin in context to health informatics. The disease conditions are recognized by analyzing skin texture images using a set of normalized symmetrical Grey Level Co-occurrence Matrices (GLCM). GLCM defines the probability of grey level i occurring in the neighborhood o...
This paper presents a methodology for automated recognition of isolated words independent of speakers. It utilizes a feature vector consisting of a combination of the first three formant frequencies of the vocal tract and the mean zero crossing rate (ZCR) of the audio signal. Formant frequencies are estimated by simulating the vocal tract by an LPC...
This paper presents a methodology for automated recognition of isolated words independent of speakers. It utilizes a feature vector consisting of a combination of the first three formant frequencies of the vocal tract and the mean zero crossing rate (ZCR) of the audio signal. Formant frequencies are estimated by simulating the vocal tract by an LPC...
This paper proposes an automated system for content based retrieval of images based on color information. Color information is modeled using a color correlogram which defines the probability of acolor i occurring in the neighborhood of another color j at a distance k from it. This paper further extends the concept to a directional correlogram by mo...
This paper proposes an improved steganography approach for hiding text messages within lossless RGB images. The objective of this work is to increase the security level and to improve the storage capacity while incurring minimal degradation of the image. The security level is increased by distributing the message over the entire image instead of cl...
This paper proposes an automated system for recognizing disease conditions of human skin in context to health informatics. The disease conditions are recognized by analyzing skin texture images using a set of normalized symmetrical Grey Level Co-occurrence Matrices (GLCM). Directional GLCMs are computed along four directions viz. horizontal, vertic...
This paper outlines a scheme for image texture recognition using Wavelet transforms. The texture image is decomposed at 3 levels using a 2-D Haar Wavelet and a combined coefficient based on the decomposition matrices is used as a discrimination feature. The combined coefficient is obtained by using standard deviations of the approximation and detai...
This paper proposes an automated system for texture recognition using an extended form of Grey Level Co-occurrence Matrix (GLCM). GLCM provides a popular statistical method for texture recognition, however its basic limitation is that it can only capture information from grey-scale images. To improve recognition accuracies this paper studies the po...
This paper proposes an automated system for recognizing disease conditions of human skin in context to medical diagnosis. The disease conditions are recognized by analyzing skin texture images using a set of normalized symmetrical Grey Level Co occurrence Matrices (GLCM). GLCM defines the probability of grey level i occurring in the neighborhood of...
Computer assisted diagnosis using analysis of medical images is an area of active research in health informatics. This paper proposes a technique for indication of heart diseases by using information related to shapes of the left ventricle (LV). LV boundaries are tracked from echo-cardiography images taken from LV short axis view, corresponding to...
The purpose of this paper is to propose a multimedia based texture recognition diagnostic system that has tremendous applications in telemedicine. The challenges of medical diagnostic errors get compounded in telemedicine. On the other hand, telemedicine offers opportunities with regard to exploiting vast databases of medical images and their retri...
This paper addresses the problem of searching and retrieval in an image database by considering a layered approach - a "physical" layer which handles physical attributes of image files and a "features" layer which handles color based features of images. Color information is represented both by local and global histogram approaches in the HSV color...
Traditionally, multimedia presentations have been packaged as self running executable files, usually by embedding a set of media components. However, in recent times people have begun to look into various other fields as possible application areas of m ultimedia technology, which are quite different from their traditional counterparts. These applic...