subpixel

基本解釋

The paper introduces the subpixel technology and common interpolations.
該文分析了亞像元技術(shù)及相關(guān)的幾種傳統(tǒng)插值方法。
The methods of three-point interpolation for the subpixel image are realized based on the CNN(cellular neural network).
采用細胞神經(jīng)網(wǎng)絡(luò)(CNN)實現(xiàn)了對亞像元圖像的實時插值,對插值的過程進行了詳細的分析,并與基于亞像元圖像的傳統(tǒng)插值方法進行了對比。
A Fast Subpixel Edge Measurement Method Based on Sobel-Zernike Moment Operator[J].
引用該論文曲迎東;崔成松;陳善本;李金權(quán);李慶春.
The registration results of computed tomography(CT) and magnetic resonance(MR) are validated to be subpixel based on mutual information.
計算機斷層掃描成像CT和核磁共振MRI的配準(zhǔn)實驗證明，互信息法能準(zhǔn)確地實現(xiàn)多模態(tài)醫(yī)學(xué)圖象的配準(zhǔn)，并且能達到亞象素的精度。
On the base of precise description of digital image, we can use optimal method to get more accurate subpixel motion information.
在準(zhǔn)確的描述數(shù)字圖象的基礎(chǔ)上，我們就可以用優(yōu)化的方法來得到圖象間的精確可信的亞象素級運動信息，從而確定圖象間的映射關(guān)系。