| 1. | An algorithm for infrared image enhancement based on gray scale transform
一种基于灰度变换的红外图像增强算法 |
| 2. | The traditional image enhancement approaches include gray - scale transformation , histogram modification , histogram equalization , image smoothing and wiener filtration
传统的图像增强方法有灰度变换、直方图修正、直方图均衡、图像平滑和维纳滤波。 |
| 3. | The algorithms of image processing , including pixel gray - level detection , intensity transform , noise smoothness and image sharpen are discussed in detail
本文详细的研究了图像处理的算法，实现了像素灰度提取、灰度变换、图像平滑、图像锐化等算法。 |
| 4. | In order to im - prove the reconstructed quality , yao zhao [ 12 ] proposed a nonlinear gray trans - formation , heightened the quality of the reconstructed image efficiently
为了改进分形图象压缩算法的重建质量，赵耀等人提出一种非线性的灰度变换，有效的提高了图象重建质量。 |
| 5. | The thesis discusses the image pretreatment methods of image grayness , grayness transform , image smoothness , image sharpness and image binarization ; research and analyzes the methods of the image recognition
论文深入研究了图像灰度处理、图像灰度变换、图像平滑、图像锐化、图像二值化等图像预处理方法。 |
| 6. | In the image quantization and enhancement section , the non - linear gray mapping based on histogram specification and the enhancement digital filter in spatial domain is applied to the result digital subtraction images
对于获得的数字剪影结果图象采用了规定化直方图的非线性灰度变换算法，同时对于结果图象的增强设计了空域数字滤波器。 |
| 7. | To deal with the problems mentioned above , a generalized iterative fuzzy enhancement algorithm is proposed in this thesis that consists of a three - stage procedure , i . e . , image filtering , fuzzy enhancement and gray - level transformation
为了解决上述问题，本文在经典模糊增强方法和灰度变换基础上提出了一种广义的迭代模糊增强算法。 |
| 8. | Computer simulation results show ed that this new enhancement method is more suitable than fuzzy enhancement and gray - level transformation for handling the enhancement problems of images with less gray levels and low contrasts
计算机仿真结果表明这种新的图像增强方法比模糊增强和灰度变换方法更适合于处理灰度等级少、对比度低的图像增强问题。 |
| 9. | The linear darkness transform method is used to increase the contrastiveness of pictures ; the improved mid - value filtering algorithm and local average method are adopted to protect the edge as much as possible on the basis of noise elimination
采用线性灰度变换等方法对图像进行增强，使图像的对比度扩展。采用改进型中值滤波法和多图像平均法，在去除了噪声的基础上尽可能的保护了边缘。 |
