視覺門限 的英文怎麼說

中文拼音 [shìjiàoménxiàn]
視覺門限 英文
visual threshold
  • : Ⅰ動詞1. (看) look at 2. (看待) regard; look upon 3. (考察) inspect; watch Ⅱ名詞(姓氏) a surname
  • : 覺名詞(睡眠) sleep
  • : Ⅰ名詞1 (房屋、車船等的出入口 ) entrance; exit; door; gate 2 (形狀或作用像門的東西) switch; va...
  • : Ⅰ名詞(指定的范圍; 限度) limit; bounds Ⅱ動詞(指定范圍, 不許超過) set a limit; limit; restrict
  • 視覺 : [生理學] vision; visual sense; sense of sight; visus; sight; optesthesia
  1. This course covers the basics of fmri, the strengths and limitations of fmri compared to other techniques, and the design and analysis of fmri experiments, focusing primarily on experiments on high - level vision

    課涵蓋功能性核磁共振造影技術的基本介紹,以及和其他技術相較之下,這項技術的優點與制,還將介紹在高階研究的范疇內,功能性核磁共振造影實驗的設計和結果分析。
  2. Digital halftoning technique, which is on basis of human visual attribution and color characteristic of image, is the tone rendition technology of transforming an image with greater amplitude resolution to one with lesser amplitude on two levels or on finite levels by mathematics and computer

    數字半色調技術是基於人眼的特性和圖像的成色特性,利用數學、計算機等工具,在二值設備或有灰度級設備上實現圖像再現的一技術。
  3. Fractal image compression coding ( ficc ) is a new image coding method developed in recent years and has been studied extensively. based on the analyze of conventional fractal coding and decoding, a fractal image coding algorithm based on changeable threshold and creative function is proposed in this paper. new algorithm is to be in accordance with the feature of human visual system

    本文通過對傳統分形圖像壓縮編解碼的分析,提出了變化和生成函數改進的編碼演算法,此演算法在一定程度上與人類系統特性相符,我們在理論上證明了在相同的條件下,用改進的生成函數恢復的圖像在質量方面比傳統的生成函數要好,恢復圖像的信噪比有所提高。
  4. Automatic threshold choice is difficult and important to color images edge detection, first of all, on the base of human visual properties, threshold versus intensity function of human visual system are researched and analyzed, by using method of mathematic modeling and the result of saturation research, function of least color difference that can be perceptible by visual systems in detecting edge is given

    摘要自動閥值選取是彩色圖像邊緣檢測的難點和關鍵問題,首先從人類的特性出發,分析了人類系統的亮度感知函數,利用數學建模方法和色度學方面的研究成果,給出人類系統對彩色圖像邊緣所能識別的最小彩色差函數。
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