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   "cell_type": "markdown",
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   "source": [
    "# How To: Combine Detectors with CompositeDetector\n",
    "\n",
    "When no single detector captures all colonies reliably, combine multiple\n",
    "detectors using `CompositeDetector`. It merges their results via union,\n",
    "intersection, or overlap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from phenotypic.data import load_yeast_plate\n",
    "from phenotypic.enhance import GaussianBlur, CLAHE\n",
    "from phenotypic.detect import OtsuDetector, HysteresisDetector, CompositeDetector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plate = load_yeast_plate()\n",
    "plate = GaussianBlur(sigma=2.0).apply(plate)\n",
    "plate = CLAHE(clip_limit=0.01).apply(plate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Union Mode\n",
    "\n",
    "Keeps any pixel detected by *any* detector. Maximizes recall at the cost\n",
    "of potential false positives."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite = CompositeDetector(\n",
    "    detectors=[OtsuDetector(), HysteresisDetector(low=\"mean\", high=\"otsu\")],\n",
    "    mode=\"union\",\n",
    ")\n",
    "result = composite.apply(plate.copy())\n",
    "print(f\"Union: {result.num_objects} colonies\")\n",
    "result.dash(overlay=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Intersection Mode\n",
    "\n",
    "Keeps only pixels detected by *all* detectors. Maximizes precision."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "composite_intersect = CompositeDetector(\n",
    "    detectors=[OtsuDetector(), HysteresisDetector(low=\"mean\", high=\"otsu\")],\n",
    "    mode=\"intersection\",\n",
    ")\n",
    "result2 = composite_intersect.apply(plate.copy())\n",
    "print(f\"Intersection: {result2.num_objects} colonies\")\n",
    "result2.dash(overlay=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Choose `union` to catch faint colonies, `intersection` for high-confidence\n",
    "detection, or `overlap` with a minimum overlap ratio for a middle ground."
   ]
  }
 ],
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