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Image analysis plays a vital role in medical diagnostics. Analysing texture is a major source of discrimination in image analysis. In this paper, we have worked on and analysed images of kidney stones to differentiate between the chemical compositions of different types of stone. The most common types of stones are Calcium and Uric acid stone, hence our study focuses on these two categories. Identifying chemical composition is very crucial as it helps the patients to keep a control on their diet. A statistical comparison is made between these two categories and we have observed significant difference in various classic parameters. A new approach is presented that uses only selected statistical parameters and hence it differs from all previous approaches that differentiates the different types of stones from images without clinical interference.

ANALYZE AND DIFFERENTIATE URIC ACID STONES AND CALCIUM STONES FROM IMAGES USING STATISTICAL PARAMETERS