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Project Zone > Electronics > Image Processing

Remote Authentication via Biometrics: A Robust Video-Object Steganographic Mechanism Over Wireless Networks

Category : Image Processing


Sub Category : STEGANOGRAPHY


Project Code : IMP01


Project Desc : In wireless communications sensitive information is frequently exchanged, requiring remote authentication. Remote authentication involves the submission of encrypted information, along with visual and audio cues (facial images/videos, human voice etc.).

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Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine

Category : Image Processing


Sub Category : SATELLITE IMAGE


Project Code : IMP02


Project Desc : Ship detection on spaceborne images has attracted great interest in the applications of maritime security and traffic control. Optical images stand out from other remote sensing images in object detection due to their higher resolution and more visualized contents.

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Elaboration of Novel Image Processing Algorithm for Arcing Discharges Recognition on HV Polluted Insulator Model

Category : Image Processing


Sub Category : SATELLITE IMAGE


Project Code : IMP03


Project Desc : Insulator flashover under pollution is one of the most important problems for power transmission. Occurrence of flashover is preceded by discharges propagation. This paper is dedicated to monitor discharges activity through arcing discharges pattern recognition using a combination of efficient image processing and classification algorithms.

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Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose

Category : Image Processing


Sub Category : BIOMETRICS


Project Code : IMP04


Project Desc : Existing methods for performing face recognition in the presence of blur are based on the convolution model and cannot handle non-uniform blurring situations that frequently arise from tilts and rotations in hand-held cameras.

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A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval

Category : Image Processing


Sub Category : IMAGE RETRIEVAL


Project Code : IMP05


Project Desc : Conventional relevance feedback (RF) schemes improve the performance of content-based image retrieval (CBIR) requiring the user to annotate a large number of images. To reduce the labeling effort of the user, this paper presents a novel active learning (AL) method to drive RF for retrieving remote sensing images.

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Deep Representations for Iris, Face, and Fingerprint Spoofing Detection

Category : Image Processing


Sub Category : BIOMETRICS


Project Code : IMP06


Project Desc : Biometrics systems have significantly improved person identification and authentication, playing an important role in personal, national, and global security. However, these systems might be deceived (or spoofed) and, despite the recent advances in spoofing detection.

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Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme

Category : Image Processing


Sub Category : BIOMEDICAL


Project Code : IMP07


Project Desc : Computer-aided detection (CADe) of pulmonary nodules is critical to assisting radiologists in early identification of lung cancer from computed tomography (CT) scans. This paper proposes a novel CADe system based on a hierarchical vector quantization (VQ) scheme.

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Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images

Category : Image Processing


Sub Category : BIOMEDICAL


Project Code : IMP08


Project Desc : Automated detection of blood vessel structures is becoming of crucial interest for better management of vascular disease. In this paper, we propose a new infinite active contour model that uses hybrid region information of the image to approach this problem.

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Four-Class Classification of Skin Lesions With Task Decomposition Strategy

Category : Image Processing


Sub Category : BIOMEDICAL


Project Code : IMP09


Project Desc : This paper proposes a new computer-aided method for the skin lesion classification applicable to both melanocytic skin lesions (MSLs) and nonmelanocytic skin lesions (NoMSLs). The computer-aided skin lesion classification has drawn attention as an aid for detection of skin cancers.

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Automatic Classification of Intracardiac Tumor and Thrombi in Echocardiography Based on Sparse Representation

Category : Image Processing


Sub Category : BIOMEDICAL


Project Code : IMP10


Project Desc : Identification of intracardiac masses in echocardiograms is one important task in cardiac disease diagnosis. To improve diagnosis accuracy, a novel fully automatic classification method based on the sparse representation is proposed to distinguish intracardiac tumor and thrombi in echocardiography.

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