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<p>To address the issue that the low contrast of human G-banded metaphase chromosome optical microscopic images hinders chromosome karyotype analysis, a chromosome band region enhancement algorithm based on B-spline curves is proposed. The method integrates a multi-level threshold segmentation algorithm, exhaustively searches for optimal control point parameters by maximizing joint similarity as the optimization objective, and constructs a grayscale mapping table using cubic clamped B-spline curves. Experimental results, with peak signal-to-noise ratio as the cross-validation index, demonstrate that the proposed algorithm achieves enhancement effects closer to the benchmark reference image compared to traditional gamma transformation and contrast-limited adaptive histogram equalization.</p>

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A G-banded Chromosome Image Enhancement Algorithm Based on B-Spline Curves

  • 期刊论文

  • 发表日期：

    2025年5月22日

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  • Hui Wang,
  • Shengri Feng,
  • Tiantian Yu

摘要

To address the issue that the low contrast of human G-banded metaphase chromosome optical microscopic images hinders chromosome karyotype analysis, a chromosome band region enhancement algorithm based on B-spline curves is proposed. The method integrates a multi-level threshold segmentation algorithm, exhaustively searches for optimal control point parameters by maximizing joint similarity as the optimization objective, and constructs a grayscale mapping table using cubic clamped B-spline curves. Experimental results, with peak signal-to-noise ratio as the cross-validation index, demonstrate that the proposed algorithm achieves enhancement effects closer to the benchmark reference image compared to traditional gamma transformation and contrast-limited adaptive histogram equalization.