This study focuses on exploring the relationship between haze and the intrinsic optical properties of translucent materials through image-based measurements conducted in a real-world setting. The research adopts water-based samples mixed with milk and black tea, enabling the investigation of materials with varying absorption and scattering properties. We quantify haze using an image-based measurement system and estimate lateral attenuation coefficient with a translucency meter device. A linear regression model was established, relating haze to the logarithm of the product of sample thickness and the effective lateral attenuation coefficient. This finding contributes to advancing the understanding the appearance of translucent materials and has potential industrial applications.