low contrast image 中文意思是什麼

low contrast image 解釋
低對比影像
  • low : adj 1 低的;淺的,矮的。 low flight 低飛。 a low temperature 低溫。 low tide [water] 低潮。 The g...
  • contrast : n 1 對照,對比;(對照中的)差異。2 對立面,對照物;【攝影】反差。3 【修辭學】對照法。vt 使對照,...
  • image : n 1 像,肖像,畫像;偶像。2 影像,圖像。3 相像的人(或物);翻版。4 形像,典型。5 形像化的描繪。6...
  1. The influence of thermal blooming on ir image quality is relative severe when brightness or contrast of the ir detector observed scenery is very low

    紅外探測器觀察的景物亮度或對比度通常很低,此時熱暈對紅外像質的影響比較嚴重。
  2. Because of the characters in the alum image : strong disturbances, low contrast and random arrangement of alum grain, in the designing of the system we sort the images collected from digital camera and get the corresponding control of adding alum through three steps : pre - operation, vein analysis and particle processing

    通過分析得到礬花圖象的特點:干擾強烈、對比度低、礬花顆粒隨機分佈,在本系統的設計中,通過對數碼相機採集到的礬花圖象進行預處理、紋理分析以及粒狀統計三個步驟的處理,完成對礬花圖象的分類,以實現相應的加料控制。
  3. As the military and industry is developing dramatically, to enhance the low - contrast digital image has become one of the important areas in image processing. there are two traditional methods to enhance the low - contrast digital image : the methods based on frequency and the method based on time. the histogram enhancement, the most popular way to enhance, is representing the latter one ; while the methods based on frequency often uses wavelet transform, ft ( flourier transform ), dct ( discrete cosine transform ) to enhance

    隨著軍事和工業上的發展需要,低對比度數字圖像的增強越來越成為數字圖像處理中的一個重要領域,傳統的增強方法分為頻域法和空域法兩大類,其中空域法的代表為直方圖增強法,這也是最為流行的增強方法,頻域法中用的較多的是基於小波變換,傅立葉變換和離散餘弦變換的增強方法,本文介紹的是基於小波神經網路的頻域增強法。
  4. 5 a multi - thread software cooperated with smp ( 2 cpu ) hardware performs the image - preprocessing correlation and post - processing synchronously, thus an automatic working module is realized. 6 systematic designed software, including grabing sarnies constructing rfl diging roi, and trainning ann offline and inline modules, has passed the practical tests which indicates that the opr could reach the recogniton possibility above 85 % and decrease the false alarm in the environment of high noise low contrast and multi - objects. and these are proved stable and repeatable in statistics, and so an advanced progress toward practical systems is achieved

    6 、系統化設計的軟體,包括了樣本採集、參考濾波器庫構成、相關平面的roi採集,以及ann脫機訓練、 ann聯機運行的軟體功能模塊,在實時運行的測試結果中表明了該opr系統對處于高噪聲、低反差、多目標的惡劣條件下,對三維畸變目標的判識率( > 85 % ) ,降低了虛警率,並通過大量的實驗數據證明了該系統各項指標的穩定性和可重復性(從統計意義上講) ,向實用系統邁進了一大步。
  5. Due to dynamic complex background and defects of infrared image, which are low contrast between object and background, blurred edge of object and high amount of noise, objects detection and tracking is very difficult in this case

    由於動態復雜背景,加上紅外圖像普遍存在目標與背景對比度低、目標邊緣模糊和噪聲大等問題,給目標的檢測與跟蹤帶來很大的挑戰性,目前國內外相關文獻還很少。
  6. 4. a night vision image fusion algorithm based on wavelet transform is put forward in this dissertation. two kinds of original images - low light level image and laser assistant vision image, low light level image and infrared image are fused based on the multiresolution contrast of the source images in the wavelet transform domain

    針對微光圖像與紅外圖像的特點,提出了一種基於小波變換的夜視圖像融合演算法,在小波變換域用基於對比度概念的融合演算法對微光圖像與激光助視圖像、微光圖像與紅外圖像進行了融合處理。
  7. In order to improve the accuracy and the real time performance of edge detection, a method need to be found to match the detection of low contrast blurred welding seam image

    為提高邊緣檢測的準確性和實時性,需要尋找一種適合於低對比度模糊焊縫圖象邊緣檢測的快速方法。
  8. Experiments show that the method will give observer a clearer global image with enough local contrast details in processing a low illumination image

    實驗表明該方法在對低照度圖像處理時可以達到局部細節對比度增強和全局清晰的效果。
  9. Abstract aiming at the darkness and low contrast of low illumination image, a low illumination image enhancement method, combining improved histogram equalization and improved local contrast enhancement, was designed, which satisfied the needs of adjusting dynamic range and enhancing local contrast

    摘要針對低照度圖像暗且對比度低的特點,提出了一種將改進的直方圖均衡化方法與改進的局部對比度增強方法相結合的低照度圖像處理方法,滿足了圖像增強的兩種要求:調節動態范圍,增強局部對比度。
  10. 5. a modulating fusion algorithm based on wavelet transform is advanced. the low light level image and infrared image are fused using contrast modulating and gray level modulating method

    提出了一種基於小波變換的微光圖像與紅外圖像的調制融合演算法,用對比度調制與灰度調制方法分別對微光圖像與紅外圖像進行了融合處理。
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