| 1. | A fast and effective gray level interpolation of medical images
基于相关性的三维医学图像插值 |
| 2. | A new feature extracting algorithm based gray level co - occurrence matrix
一种新的灰度共现矩阵特征提取算法 |
| 3. | Non - supervised textural images segmentation based on gray level rank vector
基于灰度秩数向量的非监控纹理图像分割 |
| 4. | Realization of region splitting of multi - gray level picture with optical method
用光学方法实现多灰度级图像的区域分割 |
| 5. | Seafloor sediment classification using a neighborhood gray level co - occurrence matrix
基于邻域灰阶共生矩阵的海底沉积物分类 |
| 6. | Multi - spectral image fusion to increase gray level ratio between crop and weeds in image
采用多光谱图像融合提高作物和杂草灰度比值 |
| 7. | The segmentation method of retinal blood vessels based on gray level - gradient co - occurrence matrix
梯度共生矩阵的视网膜血管分割方法 |
| 8. | The image enhancement problem for degraded images with less gray levels and low contrasts
灰度等级少、对比度低的降质图像增强问题。 |
| 9. | Co - occurrence matrixes identify repeated occurrences of gray level pixel configurations within the texture
共生矩阵确定纹理的灰度级象素组态。 |
| 10. | Correspondingly , the gray level difference between citrus and leaves was 95 , and the difference between citrus and branches was only 37
而果实与树叶的平均灰度差较大， i = 95 ；果实与树枝的平均灰度差为i = 37 。 |
