Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.

传统的直方图均衡和灰度变换增强算法，不能针对红外图像的目标进行有效地增强。

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MFC to achieve a variety of gray-scale image point operations, such as anti-color images, the window transform, linear transformation, threshold transform, gray balance, etc.

说明：MF C实现灰度图像的各种点运算，如图像反色，窗口变换，线性变换，阈值变换，灰度均衡等。

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The use of image denoising, gray-scale transformation, histogram equalization, and uneven background correction techniques make the image more easily processed and analyzed.

采用图像去噪、灰度变换、直方图均衡化以及非均匀背景修正技术等提高了原始图像成分的清晰度，使图像变得更便于计算机分析和处理。

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