無噪聲圖像 的英文怎麼說
中文拼音 [wúzàoshēngtúxiàng]
無噪聲圖像
英文
noise-free picture- 無 : 無Ⅰ動詞(沒有) not have; there is not; be without Ⅱ名詞1 (沒有) nothing; nil 2 (姓氏) a surn...
- 噪 : 動詞1. (蟲或鳥叫) chirp 2. (大聲叫嚷) make noise; make an uproar; clamour
- 圖 : Ⅰ名詞1 (繪畫表現出的形象; 圖畫) picture; chart; drawing; map 2 (計劃) plan; scheme; attempt 3...
- 像 : Ⅰ名詞1 (比照人物製成的形象) likeness (of sb ); portrait; picture 2 [物理學] image Ⅱ動詞1 (在...
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The built - in color viewfinder provides bright, crisp images under virtually all conditions. radiometric firewire ieee 1394 output provides the bandwidth for fast downloading of calibrated
探測器技術生成優異無噪聲圖像輪廓鮮明的高解析度的長波紅外熱圖每幅圖像超過76000個像素。Generally, it is difficult to extract and matching feature in high precision using classic registration method due to speckle noise and the complex distribution of gray - level in sar image
由於sar圖像相干斑噪聲的影響和灰度分佈的復雜性,利用傳統方法作配準時一般面臨特徵提取和局部灰度匹配難度大、精度無法滿足需要的困難。In view of the fact that there is inevitably noise in actual projections, single objective ca n ' t express reconstruction characteristic accurately, so the author pays more attention to other objectives of reconstruction image to make full use of the mutual information among the incomplete projections and the vector mathematic programming is presented to solve the imaging problem
鑒于實際投影中存在不可避免的噪聲,單一目標無法準確描述重建特性,為此需兼顧重建圖像的其它指標,更好地挖掘不完全投影數據之間的相互信息。於此,作者提出採用向量優化法來表述成像問題。We raised a new model that we disassemble the character into several parts, which could be recognized by computer topologically based on the high - frequency wavelet coefficients vector, disregarding the traditional extraction method that used the statistical or structural feature based on the individual pixel in the 2 - dim plane of character. moreover, the concept of multi - dim cognizing feature model was put forward by encoding the character, according to its " location and run - length information. the information confusion and redundancy could be largely eliminated, as leaded to the improving of the preciseness when recognizing the character
克服以往結構、統計方法在字元特徵提取中無法剔除噪聲、偏移等冗餘信息的不足,以認知的新思路分析圖像,給出基於小波子圖的筆劃定義,給出一種注重反映字元部分最為重要的筆劃的類型、數量、遊程、位置特徵,改進了基於字元二維圖像的統計與結構特徵提取方法因變形,畸變造成信息混淆和冗餘;給出了提取多屬性字元認知特徵的方法和識別機制,實驗表明,該方法能有效的識別字元; 3Compared with other methods, adass is less complex, and moreover, with its characteristic of reducing noise and enhancing edges simultaneously, the higher quality of an enlarged image can be obtained both on edges and in smooth area
該演算法在平滑噪聲的同時可以有效地增強邊緣,使得放大后的圖像無論在邊緣處還是平滑區域均能達到理想的效果。分享友人