Abstract-PCA conversion defines one main stream and two sub-streams for the color of homogenous areas. This subject has led to design some effective algorithms for the processing of colored images such as coloring, changing the color, compressing and Steganography. LSB is considered one of the oldest methods in secret information Steganography in images. There have been some various designs for this method. Using a compound method can lead to some new algorithms. This paper presents a new method for secret information Steganography.
In this modern era, medical image processing is an indispensable part of many applications and practices in the medical domain. The images that are used should meet certain criteria, including having more accurate details and information than each individual image, which can help medical scientists with analysis and treatment. Medical image fusion is among the techniques that offer high-quality images, which are combined from different modalities. Multimodal medical image fusion provides remarkable improvement in the quality of the fused images. In this paper, we describe an image fusion method for magnetic resonance imaging (MRI) and computed tomography (CT) utilizing local features and fuzzy logic methods. The aim of the proposed technique is to create the maximum combination of useful information present in MRI and CT images. Image local features are distinguished and combined with fuzzy logic to calculate weights for each pixel. Simulation outcomes show that the proposed method produces considerably better results compared to cutting-edge techniques. The method is also used to detect and highlight tumorous areas, followed by morphology filters used to eliminate any noise and disturbance.
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