Prediction of Abnormality in Pathology Tissue Images using Image Processing | IEEE Conference Publication | IEEE Xplore

Prediction of Abnormality in Pathology Tissue Images using Image Processing


Abstract:

Micro spectroscopy based on vibration hyper spectral imaging (HSI) in the infrared band (mid-IR) is a powerful imaginative method of examining the chemical composition of...Show More

Abstract:

Micro spectroscopy based on vibration hyper spectral imaging (HSI) in the infrared band (mid-IR) is a powerful imaginative method of examining the chemical composition of substances, which can be used on tissue samples to diagnose disease. With the configuration of skin under cells and information from hundreds of central IR bands per pixel, modern HSI systems can be used to identify different cell types and subcellaneous cell components without using color markers or protein targeting. It is widely used in pathology. HSV (Hue saturation and value) is used to determine the tissue portion of an image. After the HSV split the image will be in the binary mask. Morphology in the context of image processing means a description of the shape and structure of the object in the image. The purpose of using morphological functions is to remove imperfections from image formation. Most of the functions used here are a combination of two processes, extension and erosion The separation process is used to determine the abnormality of the test image. Accuracy is up to 91.98%
Date of Conference: 09-10 November 2022
Date Added to IEEE Xplore: 14 February 2023
ISBN Information:
Conference Location: CHENNAI, India

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