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Contrast Enhancement Using Dominant Brightness
Level Analysis and Adaptive Intensity
Transformation for Remote Sensing Images
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鉴于棋盘格图案在摄像机标定中有着广泛的应用,因此为了对边缘模糊的棋盘格图像进行在线标定,针
对目前棋盘格图像角点检测算法的局限性,提出了一种可以自动实现的棋盘格图像角点检测算法, 该算法是利用
周围图案对称和灰度值对比明显的独特性质,设计了由对称算子S和方差算子V组合而成的角点检测算子) )) 对
称方差算子( symmetry andvariance), 简称SV算子。该算子不仅构思巧妙、易于实现、计算量小,而且对棋盘格图像
的旋转变换和亮度变换具有鲁棒性和抗噪能力强的优点。实
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直方图均衡：增强图像的对比度，使暗的部分变亮，亮的的部分变暗，对光照强时具有较强的鲁棒性-Histogram equalization: to enhance image contrast, the dark parts brighter and dark parts brighter on light intensity, have a robust
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Intensity Transformation of “Lena.bmp”
- Contrast enhancement
- Threshold enhancement
- Negative enhancement
-Intensity Transformation of “Lena.bmp”
- Contrast enhancement
- Threshold enhancement
- Negative enhancement
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Image enhancement is the indispensable features in image
processing to increase the contrast of the remote sensing data
and to provide better transform representation of the remote
image data. This paper presents a new method to improve the
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Image enhancement is a processing on an image in order to make it more appropriate for certain applications.
It is used to improve the visual effects and the clarity of image or to make the original image more conducive for
computer to process. C
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