火焰噪聲 的英文怎麼說
中文拼音 [huǒyànzàoshēng]
火焰噪聲
英文
flame noise-
The flanerie in lens, the indifference in eyes, the sound and fury, the emptiness and mess, the rambling images, possibly, all that bring to you is not entertainment, not reflection, but further confusion : the seemingly serious birthday, the no - nonsense sales promotion, the violence in broad daylight, the apparently naive adult games, the nationwide whoopee, the spookish fireworks and the trembling blowout : as if it is a sacrifice for the riproaring time
鏡頭中的漫無目的，眼睛里的司空見慣，喧鬧暴戾的噪聲，空寂凌亂的畫面，略帶散漫的影像，給你帶來的也許不是享受，不是思考，而是進一步的混亂? ? ?你會看到煞有介事滿月，一本正經的促銷，光天化日下的暴力，不動聲色的悲哀，看似天真的成人游戲，舉國歡騰的萬眾狂歡，幽靈一般的焰火和讓人戰栗的爆裂? ? ?像是祭奠著這個喧囂的年代。In addition, background noise have to be token into account. all these requires that the whole system to have higher anti - interferce properties. by adopting the technology of uv sensor, watchdog and software filters, noise is notably shielded, accordingly the system gains high performance in reliability and stabilization. this is also ensued by its self - examination function which can efficiently avoid error or miss alarm
本系統採用紫外線火焰傳感器作為探測器，結合硬體看門狗及軟體濾波等方法，有效地屏蔽了噪聲的影響；系統穩定可靠，具有自診斷功能，可有效防止誤報和漏報，實現準確報警，並具有豐富的各種顯示和報警功能。It includes the following aspects : adopting the partial differential equations and neighborhood average smoothing methods to reduce image noises. mapping the rgb three - color and gray scale histogram to study - 3 - the relationship of flame features and temperature field distribution. the methods of calculate important parameters about the average gray value, the flame area and the flame shape center coordinate are given
採用圖象相加、偏微分、鄰域平均等方法來消除圖象噪聲；繪制圖象的r 、 g 、 b三色直方圖來研究火焰幅度特徵分佈與溫度分佈的關系；給出計算平均灰度、火焰面積大小、火焰形心坐標等重要參數的方法；用彩色等溫區或等溫線重構溫度場分佈。Direct against the flame picture of stove, having analysed the source of the noise of the picture, a large number of random noises in following to the combustion process have been successful dealt with in using median filtering, have realized the gray transformation and false color shown of the flame picture
針對爐膛火焰圖像，分析了圖像噪聲的來源，運用中值濾波成功地對燃燒過程伴隨著的大量的動態隨機噪聲進行了處理，實現了火焰圖像的灰度變換和偽彩色顯示。分享友人