The paper presents a variant gray scale histogram (VGH) for the purpose of detecting and locating captions in video images.
为实现视频图像中字幕的快速检测与定位，本文提出一种变异灰度直方图vgh。
The thresholding of betterment gray scale histogram is a method that improve on the traditional thresholding of gray scale histogram, which result is very well.
其中改进的灰度直方图法就是在传统的灰度直方图法基础上改进的算法，效果较好。
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。
An algorithm that integrates gray scale gradient cue and color histogram cue to detect the human head is proposed.
提出了结合图像灰度梯度信息和彩色直方图信息的人头识别算法。
MFC gray-scale image processing, including open display, filtering, binarization, histogram, geometric transformations, etc.
说明：MFC灰度图像处理，包括打开显示，滤波，二值化，直方图，几何变换等。
Fast algorithm for adaptive neighborhood gray-scale stretch histogram equalization method is proposed which can reduce operand greatly.
提出自适应邻域灰阶扩展直方图均衡法的快速算法，大大减小运算量，使其在临床上的应用成为可能。
Local gray histogram statistics is applied to object detection in the images with multi-scale fractal feature.
在多尺度分形新特征图像中采用局部直方图统计方法进行目标检测。
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。
The method of enhancing the cell image includes gray-scale transformation, histogram modification, image smoothing and image sharpening etc.
细胞图像增强主要采用灰度变换、直方图修正、图像平滑、图像锐化等方法。
The method of enhancing the cell image include gray-scale transformation, histogram modification, image smoothing and image sharpening etc.
细胞图象增强主要采用灰度变换、直方图修正、图象平滑、图象锐化等方法。
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。
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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