Research Paper On Image Processing

Research Paper On Image Processing-43
The fun part is, we can use these types of noise as special effects in an image using MATLAB. 2 shows the results of different types of noise added to an image.

The fun part is, we can use these types of noise as special effects in an image using MATLAB. 2 shows the results of different types of noise added to an image.

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This special issue demanded to cover the broad spectrum that benefits from the automatic understanding of medical healthcare image analysis and related topics.

This special issue accepted high-quality research papers as well as review articles covering both the challenges and applications of image processing and vision in healthcare, for the betterment of human life.

Advancements of image processing and computer vision in healthcare sectors are required to be explored.

Though this arena has been expanded a lot in the last few decades, still the progresses are not satisfactory.

Every five years, the honor is given to the authors of the five top papers published in IEEE SPS publications during that period.

In fields ranging from digital photography to medical imaging, biomicroscopy to astronomical imaging, practitioners grapple with image processing problems.We follow stringent publication ethics, and plagiarized papers are not published, and are withdrawn at any stage of the publishing process.Plagiarism is not limited to the Results and Discussion sections; it can involve any part of the manuscript, including figures and tables, in which material is copied from another publication without attestation, reference, or permission.Hence, we have endeavored to delve into the healthcare using image processing and computer vision, though sensor-based activity is also a very important area [1, 2].Integration of various cues and modalities can enhance the performance of image- or vision-based analysis.It represents the occurrence of various gray levels relative to the frequencies.In this program, we plot the histogram of the original image and of the histogram-equalised image. There are three .m files, one each for edge detection, noise effects and histogram.Various important areas are covered here, broadly medical imaging for healthcare, vision systems in healthcare applications, pattern recognition related to healthcare, big data and data mining in healthcare, multimodal integration for healthcare, affective computing, biometrics issues related to healthcare, and action or emotion or behavior analysis/recognition [2, 3] for healthcare applications, and so forth.For example, in order to develop smart homes for elderly people, comprehending various activities based on image or video or sensor are very crucial.Successful scientific applications of digital image processing require an intensive interdisciplinary cooperation between the application research area and basic research in image processing itself.We assure that the journal will provide a distinct knowledge on the research on Image Processing and its applications.


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