New image segmentation technique improves accuracy and sensitivity for object recognition.
Image segmentation is crucial in computer vision for tasks like object detection. A new technique combines edge detection and region growing to improve accuracy. Fuzzy logic and genetic algorithms are used to determine edge points, and seeded region growing is applied to segment the image. The results show that this technique outperforms other common segmentation methods in terms of accuracy and sensitivity.