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    Chapter and Conference Paper

    Classification of Lungs Nodule using Hybrid Features from CT Scan Images

    Lungs nodule detection and classification is a very crucial step for computer aided diagnosis (CAD) systems. In this paper, we have proposed a CAD system that consists of multiple phases. In the first phase, L...

    M. Arfan Jaffar, Eisa Al Eisa in Progress in Systems Engineering (2015)

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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...

    Sohail Masood, Ismael Soto, Ayyaz Hussain in Nature-Inspired Computation and Machine Le… (2014)

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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...

    Muhammad Kaleem, M. Sanaullah in Emerging Trends and Applications in Inform… (2012)

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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...

    M. Ramzan, Asma Batool, Nasir Minhas in Software Engineering, Business Continuity,… (2011)

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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...

    Aun Irtaza, M. Arfan Jaffar, Tae-Sun Choi in Signal Processing, Image Processing and Pa… (2011)

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    Chapter and Conference Paper

    Bayesian Classification Using DCT Features for Brain Tumor Detection

    Mortality rate by the brain tumor was very high some years before. But now this rate is decreased in the recent years due to the earlier diagnosis and proper treatment. Chances of the long survival of the pati...

    Qurat-ul Ain, Irfan Mehmood, Syed M. Naqi in Knowledge-Based and Intelligent Informatio… (2010)

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    Chapter and Conference Paper

    Adaptive Filter and Morphological Operators Using Binary PSO

    Mathematical morphology is a tool for processing shapes in image processing. Adaptively finding the specific morphological filter is an important and challenging task in morphological image processing. In orde...

    Muhammad Sharif, Mohsin Bilal, Salabat Khan in Information Computing and Applications (2010)

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    Chapter and Conference Paper

    Automatic Fatigue Detection of Drivers through Yawning Analysis

    This paper presents a non-intrusive fatigue detection system based on the video analysis of drivers. The focus of the paper is on how to detect yawning which is an important cue for determining driver’s fatigu...

    Tayyaba Azim, M. Arfan Jaffar, M. Ramzan in Signal Processing, Image Processing and Pa… (2009)

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    Chapter and Conference Paper

    Robust and Imperceptible Watermarking of Video Streams for Low Power Devices

    With the advent of internet, every aspect of life is going online. From online working to watching videos, everything is now available on the internet. With the greater business benefits, increased availabilit...

    Muhammad Ishtiaq, M. Arfan Jaffar in Signal Processing, Image Processing and Pa… (2009)

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    Chapter and Conference Paper

    Modified Histogram Based Fuzzy Filter

    In this paper, a fuzzy based impulse noise removal technique has been proposed. The proposed filter is based on noise detection, fuzzy set construction, histogram estimation and fuzzy filtering process. Noise ...

    Ayyaz Hussain, M. Arfan Jaffar in Computer Vision/Computer Graphics Collabor… (2009)

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    Chapter and Conference Paper

    GA-SVM Based Lungs Nodule Detection and Classification

    In this paper we have proposed a method for lungs nodule detection from computed tomography (CT) scanned images by using Genetic Algorithms (GA) and morphological techniques. First of all, GA has been used for...

    M. Arfan Jaffar, Ayyaz Hussain in Signal Processing, Image Processing and Pa… (2009)