A5024772165- Face and Expression Recognition
- Face recognition and analysis
- Image and Signal Denoising Methods
- Human-Automation Interaction and Safety
- Advanced Image Processing Techniques
- Ergonomics and Musculoskeletal Disorders
- Emotion and Mood Recognition
- Ergonomics and Human Factors
- Advanced Vision and Imaging
- Biometric Identification and Security
- Design Education and Practice
- Image Processing Techniques and Applications
- Image Retrieval and Classification Techniques
- Remote-Sensing Image Classification
- Advanced Image and Video Retrieval Techniques
- Advanced Image Fusion Techniques
- Video Surveillance and Tracking Methods
- Image and Video Stabilization
- Image Enhancement Techniques
- Occupational Health and Safety Research
- Medical Image Segmentation Techniques
- Advanced Data Compression Techniques
- Brain Tumor Detection and Classification
- Sparse and Compressive Sensing Techniques
- Risk and Safety Analysis
Oregon State University
2016-2024
Eastern Mediterranean University
2014-2023
Mersin Üniversitesi
2009-2023
The University of Texas at Austin
2021
University of Illinois Urbana-Champaign
2021
Near East University
2021
University of Electronic Science and Technology of China
2019
Babol University of Medical Sciences
2017
Rogers (United States)
2016
Purdue University West Lafayette
2007-2015
In this letter, a new satellite image contrast enhancement technique based on the discrete wavelet transform (DWT) and singular value decomposition has been proposed. The decomposes input into four frequency subbands by using DWT estimates matrix of low-low subband image, and, then, it reconstructs enhanced applying inverse DWT. is compared with conventional equalization techniques such as standard general histogram local equalization, well state-of-the-art brightness preserving dynamic...
Satellite images are being used in many fields of research. One the major issues these types is their resolution. In this paper, we propose a new satellite image resolution enhancement technique based on interpolation high-frequency subbands obtained by discrete wavelet transform (DWT) and input image. The proposed uses DWT to decompose into different subbands. Then, subband low-resolution have been interpolated, followed combining all generate resolution-enhanced using inverse DWT. order...
In this letter, a satellite image resolution enhancement technique based on interpolation of the high-frequency subband images obtained by dual-tree complex wavelet transform (DT-CWT) is proposed. DT-CWT used to decompose an input low-resolution into different subbands. Then, and are interpolated, followed combining all these generate new high-resolution using inverse DT-CWT. The achieved directional selectivity provided CWT, where subbands in six directions contribute sharpness details such...
In this paper, novel models for fire and smoke detection using image processing is provided. The use different colour both smoke. are extracted a statistical analysis of samples from type video sequences images. can be used in complete fire/smoke system which combines information with motion analysis.
In this paper, a new face recognition technique is introduced based on the gray-level co-occurrence matrix (GLCM). GLCM represents distributions of intensities and information about relative positions neighboring pixels an image. We proposed two methods to extract feature vectors using for classification. The first method extracts well-known Haralick features from GLCM, second directly uses by converting into vector that can be used in classification process. results demonstrate method,...
Detecting human intentions and emotions helps improve human–robot interactions. Emotion recognition has been a challenging research direction in the past decade. This paper proposes an emotion system based on analysis of speech signals. Firstly, we split each signal into overlapping frames same length. Next, extract 88-dimensional vector audio features including Mel Frequency Cepstral Coefficients (MFCC), pitch, intensity for respective frames. In parallel, spectrogram frame is generated....
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, attracted high interest researchers working on A includes dominant and complementary emotions (e.g., happily-disgusted sadly-fearful), which is more detailed than the seven classical happy, disgust, so on). Current studies are limited to use data sets with number categories unbalanced distributions, labels obtained automatically by machine...
An image may be influenced by noise during capturing and transmitting process. Removing the possible from has always been a challenging issue due to this fact that further processing will not unless diminishing images. Many researchers attempted remove improve qualitative also quantitative results but these methods could preserve quality of images after applying de-noising techniques. In paper, in first stage, we utilized most recent nature-inspired meta-heuristic optimization algorithm get...
Generative design uses artificial intelligence-driven algorithms to create and optimize concept variants that meet or exceed performance requirements beyond what is currently possible using the traditional process. However, current generative tools lack integration of human factors, which diminishes efforts understand inject a broad set capabilities, limitations, potential emotional responses for future human-centered product service innovation. This paper demonstrates collaborative research...
In this paper, a novel image equalization technique which is based on singular value decomposition (SVD) proposed. The matrix represents the intensity information of given and any change values input image. proposed converts into SVD domain after normalizing it reconstructs in spatial by using updated matrix. called (SVE) compared with standard grayscale histogram (GHE) method. visual quantitative results suggest that SVE method clearly outperforms GHE