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With the rise in Air Traffic flow across the world due to advancement in technology and developments in the field of aeronautical engineering, the cases of emergency and panic situations on flights have also emerged at an exponential rate. Every single day, we hear of emergency situations in flights like fires, birdstrikes, diversions, engine failures and emergency landings etc. Across the globe,...
Overlapping of cervical cancerous cells and presence of debris, mucus and blood play a major issue in accurate segmentation of cells. Manual screening of overlapped cells in Pap smear slides is prone to error due to the complexity, high variation in shape and size and poor contrast of images. The automated system must be able to detect the nucleus and cytoplasm of clumped cells accurately as merging...
It is significant to analyze the dental images in order to improve and quantify medical images for correct diagnosis. Caries or cavity is one of the most prevalent diseases of the teeth. Dentists are putting the best effort to identify the problem at an earlier stage. The proposed method used in this paper is focused on the challenges faced during the root canal edge extraction from dental radiographic...
In this Globalized world, the Call Centers and BPOsare increasing at an exponential rate. There is stiff competitionamong various companies and every company wants to have itsclients happy and satisfied with the resolution of the problems. For this purpose, Agent Quality Monitoring is an importantrequirement. Since in a typical Call Centre, thousands of calls aremade by agents in a single day, it...
This paper proposes a method to identify and assess different levels of anger from the speech utterances. Unlike the existing methods which only detect the emotion from speech, the proposed method not only detects but also labels the level of an emotion. A 75 dimensional feature vector has been extracted from each audio clip and is used for training and testing. For classification and assessment the...
About 3.2 million people suffer from sickle-cell disease. Aim of this paper is to detect sickle cell anaemia and thalassaemia. The proposed method involves acquisition of the thin blood smear microscopic images, pre-processing by applying median filter, segmentation of overlapping erythrocytes using marker-controlled watershed segmentation, applying morphological operations to enhance the image, extraction...
Malaria is responsible for nearly 438,000 deaths worldwide in a year. A total of 214 million cases of malaria are encountered annually. The conventional method for testing malaria is through microscopy. A blood sample of the patient is spread over a glass slide, stained with Giemsa stain and examined under a microscope. It takes a few hours and a highly trained professional to visually examine the...
Automatic identification of bird species based on the chirping sounds of birds was experimented using feature extraction method and classification based on support vector machines (SVMs). The proposed technique followed the extraction of cepstral features on mel scale of each audio recording from the collected standard database. Extracted mel frequency cepstral coefficients (MFCCs) formed a feature...
To diagnose and classify the dysarthric speech, speech language pathologist (SLP) conducts a listening test. On the basis of the scores given by listeners the dysarthria is diagnosed and assessed. The above mentioned method is costly, time consuming and not very accurate. Unlike the traditional method, this research proposes an automatic diagnosis and assessment of dysarthria. The aim of this paper...
Acknowledgment of countenances with head stance and brightening change is an appealing and troublesome issue, and impacts fundamental applications in various zones, for instance, human-computer association and data driven development. Expelling the perfect segments from pictures is ceaselessly required in face affirmation figuring to achieve high exactness. In this paper, capable facial representation...
In this paper, the proficiency of continuous Hidden Markov Models to recognize emotions from speech signals has been investigated. Unlike the existing work which considers prosodic features for automatic emotion recognition, this work proposes the effectiveness of the phonetic features of speech particularly, Mel-Frequency Cepstral Coefficients which improves the accuracy with reduced feature set...
This paper presents a new approach for the acoustic classification of frogs' calls using a novel fusion of features: Mel Frequency Cepstral Coefficients (MFCCs), Shannon entropy and syllable duration. First, the audio recordings of different frogs' species are segmented in syllables. For each syllable, each feature is extracted and the cepstral features (MFCC) are computed and evaluated separately...
Satellite images can improve the possibilities for the detection of oil spills as they cover large areas and offer an economical and easier way of continuous coast areas patrolling. There are many common techniques to detect dark formations on the SAR images. This paper mainly focuses on method with spot feature extraction and global thresholding. The main approach used in this paper is detecting...
The Teleradiology solution is the provision of medical care over long distances by way of videoconferencing and other communication technologies to best consultancy for diagnosis. For teleradiology, image size & noise improvement is challenging research topic. Mostly X- ray images are often corrupted by noise due to a noisy channel or faulty image acquisition device. In this paper proposing median...
Radiographic imaging is essential in diagnosis, treatment planning and follow-up in endodontic. The new 3D imaging technologies like cone-beam computed tomography (CBCT) that are available in dental practice shows great promise in this field as it makes possible the extraction of the dental root canal shape information. CBCT reduces the radiation exposed on patient due this image quality is low contrast...
Radiographs are essential to all phases of endodontic therapy. They inform the diagnosis and the various treatment phases and help evaluate the success or failure of treatment. Because root canal treatment relies on accurate radiographs, it is necessary to master radiographic techniques to achieve films of maximum diagnostic quality. Such mastery minimizes retaking of films and reduces the radiation...
An automatic Language Identification (LID) is a system designed to recognize a language from a given spoken utterance. The spoken utterances are classified according to the pre-defined set of languages. In this paper a LID system is designed for two different languages namely English and French. The classification of an audio sample is done by extracting Mel frequency cepstral coefficients (MFCCs)...
This paper proposes a method of identifying the mood underlying a piece of music by extracting suitable and robust features from music clip. To recognize the mood, K-means clustering and global thresholding was used. Three features were amalgamated to decide the mood tag of the musical piece. Mel frequency cepstral coefficients, frame energy and peak difference are the features of interest. These...
This paper describes a method to detect repeating segments in an audio signal by using dynamic time warping algorithm. The proposed framework extracts features from frames of the audio by Mel frequency cepstral coefficients. The features extracted from the audio clip of the chorus were matched against the features of the whole clip by dynamic time warping. The number of matches found was determined...
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