Algorithm 1: Quality Estimation of Stitched Image

Input: Si = Segmented Image

Output: Quality Score Qs

Prepossessing:

Steps:

1: Read the segmented image and perform regions fragmentation using binary masks.   Fragmenti = image_fregmentation (Si)

2: Extract the distorted region using fragmented regions.   Regioni = region_extraction (Fragmenti)

3: Compute the pixel wise ratio of distortion-free image area.   Qs = $\left(\frac{{\displaystyle {\sum }_{l=1}^n{\displaystyle {\sum }_i^r{\displaystyle {\sum }_j^c{R}_l(i,j)}}}}{W\times H}\right)$