An Integrated Method Using Linear Homotopy Parametric Value for Enhancing Image Edge Detection

This study introduces an integrated convolutional mask method for enhancing edge detection in digital images by combining the linear homotopy parametric value (LHP) with classical edge detection operators. Our results, obtained from extensive experimentation and comparison with conventional MATLAB-based methods, demonstrate that the LHP-based method outperforms previous techniques in terms of reliability and structural accuracy. LHP is integrated to address issues of noise sensitivity and diverse image structures, highlighting the algorithm’s improved performance across a range of images.