In this study an efficient and accurate algorithm is proposed for Content-Based Image Retrieval (CBIR). The CBIR is performed in two steps: features extraction in images and similarity measurement for searching of similar images in image database. For efficient and effective CBIR system the features extraction must be fast and the searching must be accurate. In the proposed algorithm, the effec...

Most approaches for lip modelling are based on heuristic constraints imposed by the user. We describe the use of Active Shape Models for extracting visual speech features for use by automatic speechreading systems, where the deformation of the lip model as well as image search is based on a priori knowledge learned from a training set. We demonstrate the robustness and accuracy of the technique...

The world is still trying to recover from the devastation caused by wide spread of COVID-19, and now monkeypox virus threatens becoming a worldwide pandemic. Although not as lethal or infectious numerous countries report new cases daily. Thus, it surprising that necessary precautions have been taken, will be if another pandemic occurs. Machine learning has recently shown tremendous promise in i...

A new electrical capacitance tomography (ECT) image reconstruction method, termed Sensitivity Factor Regularization (SFR), is developed. The SFR method provides an explicit formulation for solving the image reconstruction problem that performs better than other explicit methods, such as linear back-projection and Tikhonov regularization, while providing the same computational efficiency. The co...

Problem statement: Noise identification is predominant in any digital image processing algorithms, which helps in identifying the filters to smooth the image for further processing. Approach: An Artificial Neural Network (ANN) based approach was proposed for noise identification. The suggested technique involved seclusion of the noise samples and extracts their statistical features, which was t...

The sky regions of foggy image processed by all the existing conventional dehazing methods are degraded by color distortion and severe noise. This paper proposes an improved algorithm which combines dark channel prior and inverse image. We first invert the foggy image, and then estimate the transmission of the inverse image. At last, compared with the non-inversed transmission, the larger value...

Thermography (infrared imaging) is a non-invasive technique applied for the detection breast cancer. We consider the problem of automatically recognition malignant breast from frontal view thermography image presented as gray scale image. This framework provides insights into several issues: breast Region of Interest (ROI) detection, extraction statistical features, extraction features based on...