ImageAnalysis.ipynb

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        "\n",
        "import cv2\n",
        "import numpy as np\n",
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "from ipywidgets import widgets\n",
        "from IPython.display import display, clear_output\n",
        "\n",
        "def upload_image():\n",
        "    upload_widget = widgets.FileUpload(accept='image/*', multiple=False)\n",
        "    display(upload_widget)\n",
        "\n",
        "    def on_upload_change(change):\n",
        "        clear_output(wait=True)\n",
        "        for filename, fileinfo in upload_widget.value.items():\n",
        "            image_data = np.frombuffer(fileinfo['content'], np.uint8)\n",
        "            image = cv2.imdecode(image_data, cv2.IMREAD_COLOR)\n",
        "\n",
        "            image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
        "\n",
        "            display_image(image_rgb)\n",
        "            analyze_image(image_rgb)\n",
        "\n",
        "    upload_widget.observe(on_upload_change, names='value')\n",
        "\n",
        "def display_image(image):\n",
        "    plt.figure(figsize=(6, 6))\n",
        "    plt.imshow(image)\n",
        "    plt.axis('off')\n",
        "    plt.title(\"Uploaded Image\")\n",
        "    plt.show()\n",
        "\n",
        "def analyze_image(image):\n",
        "    print(f\"📏 **Image Dimensions:** {image.shape[0]}x{image.shape[1]} (Height x Width)\")\n",
        "    print(f\"📊 **Number of Color Channels:** {image.shape[2]}\")\n",
        "    print(f\"🖼️ **Total Pixels:** {image.size}\")\n",
        "\n",
        "    colors = ('Red', 'Green', 'Blue')\n",
        "    plt.figure(figsize=(10, 5))\n",
        "    for i, color in enumerate(colors):\n",
        "        hist = cv2.calcHist([image], [i], None, [256], [0, 256])\n",
        "        plt.plot(hist, color=color.lower(), label=f\"{color} Channel\")\n",
        "    plt.title(\"Color Histogram\")\n",
        "    plt.xlabel(\"Pixel Intensity\")\n",
        "    plt.ylabel(\"Frequency\")\n",
        "    plt.legend()\n",
        "    plt.show()\n",
        "\n",
        "    gray_image = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)\n",
        "    avg_intensity = np.mean(gray_image)\n",
        "    print(f\"🔅 **Average Intensity (Grayscale):** {avg_intensity:.2f}\")\n",
        "\n",
        "    edges = cv2.Canny(gray_image, 100, 200)\n",
        "    plt.figure(figsize=(6, 6))\n",
        "    plt.imshow(edges, cmap='gray')\n",
        "    plt.axis('off')\n",
        "    plt.title(\"Edge Detection (Canny)\")\n",
        "    plt.show()\n",
        "\n",
        "display(widgets.HTML(\"<h2>📂 Upload an Image for Analysis</h2>\"))\n",
        "upload_image()\n"
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