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Evaluating blood flow in intestinal tissue is important for several medical procedures, such as laparoscopic surgery. However, accurately assessing blood flow using traditional methods, such as Doppler ultrasound, can be challenging. In this project, we propose a new method for evaluating blood flow in intestinal tissue using real-time video from a laparoscopic camera. Our approach involves identifying the Region of Interest (ROI) in the video and then analyzing the video in the color, frequency, and texture spaces to detect temporary changes that may indicate changes in blood flow. We demonstrate the effectiveness of our method through experiments on a dataset of laparoscopic videos. Our results show that our approach can accurately and efficiently evaluate blood flow in intestinal tissue, making it a promising tool for laparoscopic surgeons.