Nishi Mehta
Image segmentationFeature detection (computer vision)Perspective (graphical)Pattern recognition (psychology)Artificial intelligenceThresholdingStructure (mathematical logic)Data scienceDark dataForeground detectionColor spaceElectronic mailComputer visionComputer scienceImage processing
Publications 2
#1Kinjal MunotH-Index: 1
#2Nishi MehtaH-Index: 1
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Organizations collect a huge amount of data and store it for compliance purpose. This data is not analyzed or processed and with time it gets dumped into the company’s database because there is no time or money with the organization to invest in this type of data. This paper discusses dark data, its importance, risks involved, the need and techniques to structure the unstructured part of dark data. It also discusses applications of dark data in the finance sector and what portions of the bank’s ...
Image Segmentation is an important part of Image Processing. The first step in Image Analysis and Pattern Recognition is Image Segmentation. The process of Image Segmentation refers to thepartition of an image into different regions to gain information about the objects in the image based on the homogeneity or discontinuity of certain characteristics like color, intensity or texture. The purpose of this paper is to provide an overview of various image segmentation methods and their implementatio...
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