Contrast enhancementIn this article, a novel double-plateau limit histogram equalization (HE) method using the modification of the fuzzy dissimilarity histogram (FDH) is presented for the contrast improvement of Infrared (IR) images. Initially, FDH is formulated using fuzzy contextual information from ...
The color image enhancement algorithm proposed here yields an improvement of the image data that suppresses undesired distortions or enhances some image features and convert an image to a format better suited to machine processing. The proposed Fuzzy Dissimilarity Contextual Intensity Transformation with Ga...
The parameters a, b and c, ranges of low degree enhancement, low limit of amplification constant σmin and σmax, and the sizes of contextual regions (CR) are listed in Table 1. Figs. 1(a)–8(a) are the original images, and Figs. 1(b)–8(b) are the results obtained by using ...
To mitigate service-oriented attacks in smart cities, a context-based trust model is presented in55. However, processing huge volumes of contextual data results in high computation overhead56. Similarly, the quantum-inspired technique presented in57incurs extensive computation overheads due to the requ...
Zaina, Considering emotions and contextual factors in music recommendation: a systematic literature review. Multimedi Tools Applications 81(6), 8367–8407 (2022) Article MATH Google Scholar Y. Fu, M. Zhang, M. Nawaz, M. Ali, A. Singh, Information technology-based revolution in music ...
Exploring additional morphological and contextual features will be a key area of research. Real-Time Classification: Developing a real-time classification system that can process and classify galaxies as new data becomes available will be a significant advancement. Expanding Interpretability Techniques: ...
Incorporate contextual information into the matching process. Use additional contextual data, such as geographic location or transaction history, to confirm matches. Contextual analysis adds another layer of verification, reducing the chances of false positives. ...
contextual dissimilaritycontrast enhancementfuzzy inference systemhistogram equalizationprobable intensity intervalIn order to overcome the drawback of the existing image enhancement technologies and further consider the pixel intensity expression error caused by imaging, a novel fuzzy inference鈥恇ased contextual...
Contextual intensity transformationContrast enhancementPurpose: In order to facilitate early detection and further diagnosis, enhancing contrast and preserving natural characteristics are the fundamental requirement. In MR imaging, the poor quality image specifically the low contrast image may deliver inadequate...
The reason for using CNN was the advantage of more global contextual features as well as local features simultaneously. The model iterated over about 2.2 million examples of tumorous patches and goes through 3.2 million examples of the healthy patches. The time needed to segment an entire brain ...