## 4 Results  
The above processing steps were performed on the sample. On the basis of image smoothing, the feature points were selected and the MAPS and QEMSCAN images were aligned and cropped by the affine transformation. Following alignment, 12,630 \(\times\) 25,825 MAPS and QEMSCAN images were obtained. Based on this aligned MAPS image, as well as the observed mineral morphological characteristics, measurements on more than ten major minerals within the main grayscale range in the image were derived. The derived statistics are presented in Figure 4 and Table 2.  
The mineral grayscale was mainly within the range of 100-150, in which the peak frequency ratio was 79.5% (Figure 4). The height distribution across the mineral grayscale shows a composition mainly inclusive of illite, kaolinite, alibite, montmorillonite, muscovite, \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Mineral**} & \multicolumn{3}{c}{**Grayscale Value Range**} & \multirow{2}{*}{**Content (\%)**} & \multirow{2}{*}{**Classification**} \\ \cline{2-2} \cline{4-5}  & **Minimum** & & & \\ \multicolumn{1}{c}{**Grayscale Value**} & & & \\ \hline Pyrite & 215 & 255 & 1.39 & I \\ Pores/Kerogen & 0 & 96 & 0.89 & I \\ K-Feldspar & 137 & 150 & 3.82 & II \\ Muscovite & 130 & 150 & 1.5 & II \\ Biotite & 144 & 173 & 6.72 & II \\ Siderite & 181 & 204 & 0.57 & II \\ Rutile & 190 & 214 & 0.53 & II \\ Apatite & 163 & 187 & 2.02 & II \\ Quartz & 119 & 124 & 18.95 & III \\ Albite & 115 & 131 & 7.03 & III \\ Illite & 97 & 120 & 30.42 & IV \\ Chlorite & 132 & 162 & 8.71 & IV \\ Kaolinite & 110 & 130 & 8.43 & IV \\ Smectite & 110 & 130 & 1.08 & IV \\ Pyrophyllite & 106 & 130 & 3.46 & IV \\ Dolomite & 120 & 140 & 0.11 & V \\ Oligoclase & 120 & 129 & 0.97 & V \\ Calcite & 133 & 150 & 0.06 & V \\ \hline \hline \end{tabular}
\end{table} 
Table 2: The grayscale range, content, and classification of each major mineral and component. Figure 4: MAPS image grayscale frequency distribution map, the grayscale range, and content of each major mineral. K-feldspar, and quartz, among others. All clay minerals also included feldspar, quartz, and other major diagenetic minerals. A large overlap of grayscale values occurs in this region, which, along with high mineral content, prevented direct mineral identification using threshold values. Instead, comprehensive identification required obtaining multiple threshold values and texture characterization. Pyrite, rutile, apatite, and biotite were largely situated in the medium to the high grayscale range; grayscale overlap and mineral content was relatively low, and as such, could be extracted by grayscale and combined with the QEMSCAN image, after which, judgment was made based on morphological comparison methods. In accordance with the correction order (I\(-\)>II\(-\)>III\(-\)>V\(-\)>IV), and the correction methods corresponding to each mineral class, a suitable grayscale range, threshold value for surface morphology, filter ring number, and mineral smoothing were selected. Table 2 shows each identified mineral and its correction. Variance filters identified grayscale textures of quartz and feldspar particles. In addition, a 6 \(\times\) 6 profile was chosen, and the grayscale variance texture map was obtained. Mineral particles on the texture map were further segmented by threshold values (Figure 5). Notably, for minerals with uniform greyscale textures, such as quartz and feldspar, the particle form extracted by this method was close to the original figure, and some smaller particles could be effectively extracted. Based on the previously mentioned correction method, the mineral distribution was obtained after the alignment of the QEMSCAN image (Figure 6). The resolution of the mineral distribution map after correction produced a MAPS image with a 25.4 nm resolution, a significant improvement compared to the original QEMSCAN image. In comparison to the original QEMSCAN scanned image, the corrected mineral morphology was overall well-restored (Figure 6).