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TranslationMobile

灰度級(jí),揮階量級(jí)

"gray" in Chinese : n. 1.格雷〔姓氏，男子名〕。 2.Thomas Gr ...
"level" in Chinese : n. 1.水平儀，水準(zhǔn)儀；水準(zhǔn)測(cè)量。 2.水平線，水平面 ...
"gray level" in Chinese : 灰度級(jí) 和數(shù)字圖像的像素相關(guān)連的值，表示由該像素的原始景物點(diǎn)的亮度; 灰階; ...
"arbitrary gray level image" in Chinese : 任意灰度級(jí)圖像
"gray level distribution" in Chinese : 灰度分布
"gray level image" in Chinese : 灰度圖像; 灰度圖象
"gray level resolution" in Chinese : 灰度分辨率
"gray level thresholding" in Chinese : 灰度閾值化
"gray level transformation" in Chinese : 灰度變換; 灰度電平變換
"gray-level histogram" in Chinese : 明暗度分布圖
"gray-level mapping" in Chinese : 灰度級(jí)映射
"gray-level mask" in Chinese : 灰階光罩
"gray-level quantization" in Chinese : 灰度級(jí)量化
"gray-level thresholding" in Chinese : 灰度級(jí)的門限化
"gray" in Chinese : 〔美國(guó)〕＝ grey。 n. 1.格雷〔姓氏，男子名〕。 2.Thomas ...

Examples

Public watermarking algorithm of gray - level still images combining dwt and dct
小波和余弦變換相結(jié)合的灰度圖像水印算法
There are so many differences between binary images and the gray - level or color images
二值圖像只有黑白兩種顏色，該類圖像的信息隱藏不同于灰度及彩色圖像。
Therefore , there will be more challenge to realization fast recognising and tracing in chromatic image than in gray - level image
由于彩色圖像的信息量大，它比黑白圖像目標(biāo)的識(shí)別和跟蹤問題具有更大的挑戰(zhàn)性。
In the end of the paper , the method is tested on 80 gray - level images and 44 color images which are selected from the stirling image database
在最后，本文應(yīng)用striling數(shù)據(jù)庫(kù)中的80幅灰度圖像和44幅彩色圖像對(duì)本方法進(jìn)行了測(cè)試。
On this basis , the four numerical features identifying the content of image are raised from gray - level co - occurrence matrix of the image
在此基礎(chǔ)上，利用圖像的灰度共生矩陣，統(tǒng)計(jì)出反應(yīng)紋理一致性、紋理對(duì)比、紋理的熵和紋理相關(guān)性的數(shù)量值。
The algorithms of image processing , including pixel gray - level detection , intensity transform , noise smoothness and image sharpen are discussed in detail
本文詳細(xì)的研究了圖像處理的算法，實(shí)現(xiàn)了像素灰度提取、灰度變換、圖像平滑、圖像銳化等算法。
Color image is the best approach to the world , as there are more advantages in color image processing than in gray - level image
在各種光學(xué)圖像中,彩色圖像是對(duì)外部客觀世界的最為逼近的描述,因此相比灰度圖像來說,對(duì)彩色圖像的處理可以獲得更大的信息量。
Next , this paper describes a new feature - based method using edge information of typical objects combined with local gray - level statistical information to image - to - image registration
在此基礎(chǔ)上，本文提出一種結(jié)合局部灰度信息與邊緣形狀信息的基于特征的sar圖像配準(zhǔn)方法。