百度试题 结果1 题目gray-level histogram是什么意思 相关知识点: 试题来源: 解析 gray-level histogram灰度直方图;明暗度分布图如果您有什么疑问和不解之处,欢迎追问我!如果您认可我的答案,反馈 收藏
- gray level transformation:灰度变换 - gray-level histogram:灰度分布图 - gray-level mapping:灰度映射 - gray-level mask:灰度掩膜 - gray-level quantization:灰度量化 四、小结 本节针对图像“灰度”、“灰阶”、“灰度级”等术语以及英文原词“gr...
网络明暗度分布图 网络释义 1. 明暗度分布图 36测量学_馆档网 ... "灰度尺"," gray scale" "明暗度分布图","gray-level histogram" "灰度再现"," gray-scale rendition" ... www.guandang.com|基于6个网页
histogramup tothe kthlevel, respectively,and L PTP-(L)=Zipi i =1 and theoptimal thresholdk* is (8) isthe total mean level oftheoriginal picture.Wecan easilyverify thefollowingrelation for any choice ofk: OP00+O+IU1=PT,(Oo+UiI= (9) ...
awant to exit status 想要退出状态[translate] abicultural 具有两种文化[translate] aThe gray-level histogram is a function showing, for each gray level, the number of pixels in the image that have that gray level. 正在翻译,请等待...[translate]...
Multi-model gray-level histogram modeling and decomposi- tion[J].Image and Vision Computing,2002(20): 203-216.J. H. Chang, K. C. Fan and Y. L. Chang, Multi-modal gray-level histogram modeling and decomposition, Imag. Vis. Comput. 20 (2002) 203-216....
aMeasurements obtainable from the gray-level histogram of an object (using region-of-interest processing), such as its mean pixel value (grayness or color) and its standard deviation, its contrast, and its entropy 测量可获得从对象的灰色级直方图 (使用处理,)例如它的卑鄙映像点价值灰色的 (区域...
1) gray-level histogram equalization 灰度直方图均衡 例句>> 2) histogram equalization 直方图均衡 1. Ultrasound image contrast enhancement based onhistogram equalizationand wavelet transformation; 基于直方图均衡与小波变换的超声图像增强 2. Histogram equalization algorithm based on adaptive localgray level modific...
The procedure is very simple, utilizing only the zeroth- and first-order cumulative moments of the gray-level histogram. It is strightforward to extend the method to multithreshold problems. Several experimental results are also presented to support the validity of the method....
In this paper, we present a novel multi-modal histogram thresholding method in which no a priori knowledge about the number of clusters to be extracted is needed. The proposed method combines regularization and statistical approaches. By converting the approaching histogram thresholding problem to the...