28 Result(s)
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Article
An ensemble shape gradient features descriptor based nodule detection paradigm: a novel model to augment complex diagnostic decisions assistance
Primarily, there are three basic operational constituents of Nodule Detection Systems namely nodule candidate detection, classification of nodule and extraction of features. Thresholding is one of the most imp...
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Article
A comprehensive review of recent advances on deep vision systems
Real-time video objects detection, tracking, and recognition are challenging issues due to the real-time processing requirements of the machine learning algorithms. In recent years, video processing is perfor...
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Article
A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier
Facial Expression Recognition (FER) is inherently data driven. Spontaneous expressions are substantially different from posed expressions. Spontaneous facial expressions are more challenging and more difficult...
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Article
Video scene analysis: an overview and challenges on deep learning algorithms
Video scene analysis is a recent research topic due to its vital importance in many applications such as real-time vehicle activity tracking, pedestrian detection, surveillance, and robotics. Despite its popul...
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Article
Ensemble classification of pulmonary nodules using gradient intensity feature descriptor and differential evolution
For detection and classification of pulmonary nodules, there are two major issues exists in the existing computer aided diagnosis system. First major problem is automatic threshold to segment lungs and nodules...
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Article
Categorical image retrieval through genetically optimized support vector machines (GOSVM) and hybrid texture features
Content-based image retrieval (CBIR) systems provide a potential solutions of retrieving semantically similar images from large image repositories against any query image. The research community is competing f...
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Article
Content based image retrieval in a web 3.0 environment
With the dramatic growth of Internet and multimedia applications, a virtually free worldwide digital distribution infrastructure has emerged. The concept of intelligent web or web 3.0 gives an opportunity to i...
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Article
A modified adaptive differential evolution algorithm for color image segmentation
Image segmentation is an important low-level vision task. It is a perceptual grou** of pixels based on some similarity criteria. In this paper, a new differential evolution (DE) algorithm, modified adaptive ...
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Article
An adaptive training based on classification system for patterns in facial expressions using SURF descriptor templates
Most facial expression recognition (FER) systems used facial expression data created during a short period of time and this data is used for learning/training of FER systems. There are many facial expression p...
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Article
Color image segmentation: a novel spatial fuzzy genetic algorithm
Image segmentation is a very important low-level vision task. It is the perceptual grou** of pixels based on some similarity criteria. In this article, we have applied spatial fuzzy genetic algorithm (SFGA) ...
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Article
Embedding neural networks for semantic association in content based image retrieval
Content based image retrieval (CBIR) systems provide potential solution of retrieving semantically similar images from large image repositories against any query image. The research community are competing for...
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Article
Rician noise removal from MR images using novel adapted selective non-local means filter
The reduction of rician noise from MR images without degradation of the underlying image features has attracted much attention and has a strong potential in several application domains including medical image ...
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Chapter and Conference Paper
Statistical Features Based Noise Type Identification
In this paper, a new technique for automatically identifying the type of noise in digital images has been proposed. Our statistical features based noise Type identification scheme uses machine learning to dist...
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Article
Machine learning and directional switching median-based filter for highly corrupted images
In this paper, two-stage machine learning-based noise detection scheme has been proposed for identification of salt-and- pepper impulse noise which gives excellent detection results for highly corrupted images...
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Article
SOM and fuzzy based color image segmentation
Spatial information enhances the quality of clustering which is not utilized in the conventional FCM. Normally fuzzy c-mean (FCM) algorithm is not used for color image segmentation and also it is not robust ag...
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Article
Intelligent noise detection and filtering using neuro-fuzzy system
In this paper, we propose a neuro-fuzzy based blind image restoration to remove impulse noise from low as well as highly corrupted images. Main components of the proposed technique include noise detection, his...
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Article
Open AccessFuzzy based Impulse Noise Reduction Method
In this paper, we propose an image filtering technique based on fuzzy logic control to remove impulse noise for low as well as highly corrupted images. The proposed method is based on noise detection, noise re...
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Chapter and Conference Paper
Segmentation of Brain Tumor Tissue Using Marker Controlled Watershed Transform Method
Medical imaging makes use of the technology to noninvasively reveal the internal structure of the human body. By using medical imaging modalities patient’s life can be improved through a precise and rapid trea...
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Chapter and Conference Paper
Automated Requirements Elicitation for Global Software Development (GSD) Environment
Global software development (GSD) outsourcing is a modern business strategy for producing high quality software at low cost. Most of the problems in Global software development (GSD) occur due to the lack of c...
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Chapter and Conference Paper
Gabor Based Gender Classification with Classifier Independent Feature Selection
The study presents an efficient gender classification technique. The gender of a facial image is the most prominent feature, and improvement in the existing gender classification methods will result in the hig...
