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Image Thresholding using Histogram Fuzzy Approximation
TLDR
The proposed method uses two membership functions to measure the whiteness and blackness of a member element and divides the histogram into white and black (binary image).
Irregularity-based image regions saliency identification and evaluation
TLDR
Based on a survey of existing methods of saliency detection, a new technique to extract the salient regions from an image is proposed that utilizes local features of the region surrounding each pixel.
Saliency-Based Image Retrieval as a Refinement to Content-Based Image Retrieval
TLDR
A new retrieval algorithm is presented here, focused on identifying the objects extracted from the salient regions, and it is demonstrated that the use of salient objects produces better and more accurate results in the image retrieval process.
A new gaze points agglomerative clustering algorithm and its application in regions of interest extraction
TLDR
A new agglomerative clustering algorithm which uses blobs extraction technique and statistical measures in clustering the gaze points obtained from the eye tracker, which is fully automatic, which means does not need any human intervention to specify the stopping criterion.
TRANSFERRING TO EMERGENCY REMOTE TEACHING: OPPORTUNITY, CHALLENGES, AND RISKS
This study sheds light on risks pertaining to interruptions disturbing the continuity of the course of higher academic education and the inability of students to attend regular classes for any
Irregularity-based saliency identification and evaluation
TLDR
A new technique of extracting the salient regions from an image which utilizes the local features of the surrounding region of the pixels and the level of saliency is then decided based on the global comparison of the saliency-enhanced image.
NEURAL NETWORK BASED AUTOMATIC TRAFFIC SIGNS RECOGNITION
TLDR
A new approach of traffic signs image recognition and understanding using computational intelligent techniques and the application of this approach on intelligent cars which can recognize the traffic signs and take a decision according to the signs it reads is proposed.
Mutual Information-Based Optimum Metrics Identification in Symmetry-Based Brain Abnormality Detection
TLDR
The mutual information content is used to measure the importance of the metrics and their influence on the classification process as it gives an indication of how the output and each input are related to each other.
Computational Intelligence-based Semantic Image Background Identification using Colour-Texture Feature
TLDR
A new algorithm to identify the background in an image which utilises the principles of human image understanding and the way they describe the contents of the image.
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