What are the challenges in using GLCM in Histology?
While GLCM is a powerful tool, there are several challenges in its application: - High Dimensionality: Histological images are often large and complex, leading to high-dimensional GLCMs that are computationally expensive. - Noise Sensitivity: Histological images can be noisy, and GLCM can be sensitive to this noise, potentially leading to inaccurate feature extraction. - Parameter Selection: The choice of parameters such as distance and angle can significantly affect the results, requiring careful selection and validation.
