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Subject: Information Technology × Author: Chaudhary, Harshita × Start date: 2010 ×
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    ThesisItemOpen Access
    Kidney stone detection from ultrasound images using masking techniques
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-12) Chaudhary, Harshita; Pandey, Binay Kumar
    Here we are using masking techniques for stone detection that are present in the kidney. As we know Masking techniques are conspicuous approaches in contrast enhancement. For this firstly, the image is converted into grey and after that contrast of the image is enhanced. The process of contrast enhancement is done with the help of Optimum Wavelet-Based Masking (OWBM) using the Enhanced Cuckoo Search Algorith (ECSA). Afterward image segmentation and image masking have been done to detect stone from the image. The cuckoo search algorithm is used for global optimization of contrast enhancement. With the help of the Cuckoo search algorithm approximation of the coefficient has been optimized. The objective of this project is to design and implement a method to detect the presence of stone from the ultrasound image of a kidney. Here we are making are system our more intelligent.