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import streamlit as st
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
st.title("Image Scan Line Analyzer")
st.write("Upload three images and select a common scan line to analyze.")
uploaded_files = st.file_uploader("Upload Images", type=['png', 'jpg', 'jpeg', 'bmp'], accept_multiple_files=True)
if len(uploaded_files) == 3:
min_height = min(Image.open(file).size[1] for file in uploaded_files)
line_pos = st.slider("Select Common Scan Line", 0, min_height - 1, value=min_height // 2)
scan_lines = []
for i, uploaded_file in enumerate(uploaded_files):
image = Image.open(uploaded_file)
pixels = np.array(image)
scan_line = pixels[line_pos, :]
scan_lines.append(scan_line)
plt.figure(figsize=(10, 6))
line_styles = ['-.', '--', 'solid']
colors = ['blue', 'green', 'red']
for i, scan_line in enumerate(scan_lines):
file_name = uploaded_files[i].name
style = line_styles[i % len(line_styles)]
color = colors[i % len(colors)]
plt.plot(scan_line, label=file_name, linestyle=style, color=color, alpha=0.7, linewidth=1.5)
plt.xlabel('Pixel Position')
plt.ylabel('Pixel Value')
plt.title('Comparison of Scan Lines Across Images')
handles, labels = plt.gca().get_legend_handles_labels()
by_label = dict(zip(labels, handles))
plt.legend(by_label.values(), by_label.keys(), loc='upper left')
st.pyplot(plt)
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