棒線圖 的英文怎麼說
中文拼音 [bàngxiàntú]
棒線圖
英文
bar graph-
Improving anil jain ' s algorithm, we propose a minutiae match algorithm. our improvement is focused on the following two aspects : first, we use a minutiae alignment algorithm based on the iteration of the neighbor minutia centered at the minutia gravity. secondly, we use a modifiable bounding - box to carry out minutiae matching, which makes our algorithm more robust to the non - linear transform of the fingerprint images
我們的改進主要體現在二個方面:首先我們利用了一種「基於重心附近遍歷的特徵點對齊演算法」 ，該方法不需要記錄特徵點的多餘信息來進行特徵點的對齊;其次，我們利用一個可變大小的「界限盒」來進行特徵點的匹配，使得我們的匹配演算法對指紋圖像的非線性形變具有更好的魯棒性。At first, the paper confirms singular area by singular detection, then designs a series of low - pass filters that have different templates according to the different position in finger image for a local area, at last sets up gabor filter parameters according to the characteristics of fingerprint image. the improved enhancement algorithm has a better robust, and can preserve texture structure of singular area effectively. in binary noise clearance, the paper presents an algorithm that clears the biggish white speckles and black speckles
在指紋圖像增強方面，本文針對傳統的基於gabor濾波器指紋圖像增強演算法魯棒性差以及通常會改變奇異區紋理結構的缺點，對原有演算法進行了一些改進:首先通過檢測奇異點確定奇異區，然後根據局部區域在指紋圖像中的位置構建相應取值方式的低通濾波器並對該局部區域方向圖進行濾波，最後根據指紋圖像紋線的特點對gabor濾波器參數進行設置。We present different multipurpose watermarking schemes in different applications fields : image retrieval and copyright protection ( robust watermark ) ; image retrieval and copyright notification ( visible watermark ) ; image retrieval and content integrity verification ( fragile watermark ). our retrieval system consists of two main phases, the offline process and the online retrieval process
本文主要從三種不同的角度研究不同的多功能水印演算法:用於圖像檢索和版權保護（魯棒水印） 、用於圖像檢索和版權通知（可見水印） 、用於圖像檢索和內容完整性驗證（脆弱水印） ，分別建立離線系統和在線檢索系統，進行圖像檢索模擬實驗。Robust wireless image transmission based on space - time block codes and unequal error protection
基於空時非均衡錯誤保護的無線圖像魯棒傳輸Artificial feature landmark is first leaded into vision computation in this paper. our approach is to extract marker points and to use correlation to find an initial set of matches, then use relaxation, robust recover epipolar geometry and reprojection to discard false matches in this set and find more matches
首次將人工圖標引入視覺計算，通過提取人工特徵點，採用灰度相關法進行初始匹配，再利用鬆弛法、魯棒估計基礎矩陣恢復極線約束和結構再投影法剔除錯誤匹配點、尋找更多匹配對。Secondly, image enhancement technique based on linear filtering is adopted. a new image segmentation method by means of automatic multilevel threshold is given, which realizes partial multilevel threshold segmentation based on image region partition of gray - level position projection, removes the influence of uneven illuminance or uneven gray - level distribution on goal recognition, and resolves the problem of error segmentation caused by threshold step between adjacent regions by threshold transition. the method has well robustness
在圖像處理時，採用基於線性濾波的圖像增強方法，並提出了一種新的自動多閾值圖像分割方法，該方法以基於灰度位置投影的圖像分區實現局部多閾值分割，克服了不均勻照明或不均勻灰度分佈對目標識別的影響，同時，通過閾值過渡很好地解決了相鄰區域閾值「階躍」引起的錯誤分割問題，具有很好的魯棒性。Because of phase information ' s stability and significance, this method is fairly robust, that is, it is invariant to illumination, contrast, and rotation. it can detect mirror symmetry, rotating symmetry and curve symmetry simultaneously. and it does n ' t need any preprocessing, such as segmentation
由於相位信息的穩定性和重要性，該方法具有很強的魯棒性，不受圖像亮度、對比度和旋轉的影響；它能同時檢測鏡像對稱性、旋轉對稱性和曲線對稱性，不需要圖像分割等任何預處理。This paper proposes a scheme of splitting - control system based on on - line counting system for steel bars. using image signal as feedback information. bars are tracked real - timely. and it was achieved that intellectualized operation of splitting - bar equipment. using correspond control strategy
在實現軋鋼廠棒材生產自動計數的基礎上，提出一種計算機視覺在線分離控制方案，用視覺圖像信號作為反饋信息，對棒材的位置進行實時跟蹤，採用相應的控制策略，驅動分鋼裝置實現智能化操作。During the course of laser strip skeleton images fitting, the problem of adaptive segment segmentation is resolved, and well robust line segmentation method is present
在激光條骨架圖像分段擬合的過程中，重點解決了線段端點的自適應分割問題，提出了高魯棒性的直線分割方法。分享友人