指紋區域 的英文怎麼說
中文拼音 [zhǐwénqūyù]
指紋區域
英文
finger print region-
The algorism can be used to all the region of the fingerprint image with good performance, especially to non - regular orientation areas
該方法在指紋圖像的各種區域都適用,很好的解決了不規則區域紋線密度的提取問題。Third, using singular points and direction image, we class the fingerprint. we dispart four small fields in the center field of the fingerprint image. through the directions of the lines in every small field, we confirm the fingerprint type
基於方向圖分類法中將中心區域的方向圖分為左上,左下,右上和右下四個子區域,根據各子區的紋線走向來確定指紋類型。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。Classification approach of half - region fingerprint based on orientation field
基於方向場的半區域指紋分類方法This article analyses the characteristic of fingerprint image and brings forward some reasonable supposes which related to the fingerprint image after i collected and analyzed many articles of others that is related to the fingerprint image processing and has published in the resent years. based on these characteristic and supposes, i developed a set of fingerprint image processing arithmetic that are adapt to the fingerprint image gathered by capacitive solid - state device. these include several steps
作者收集和分析了近年來大量的國內外的關于指紋圖像處理技術的學術文獻基礎上,分析了指紋圖像的特性,提出了對指紋圖像的一些合理的假設,並從這些假設出發,提出了一套適用於電容式指紋傳感器採集的指紋圖像的處理演算法,這些演算法包括指紋圖像的有效區域提取、指紋圖像的質量分析、指紋圖像的分割、指紋圖像濾波、二值指紋圖像的細化、特徵點的提取、特徵點的可靠性分析、指紋圖像的點模式匹配等步驟。It adopts the xbrothers professional security and facility control system which includes : the real - time monitoring and controlling for the electric power supply system ; the air conditioning control system ; the ups control system ; the leaking control system ; the fire alarm system ; the video surveillance system and ; the access control system. the system provides the fire monitoring and turn to emergency status when fire detects. the system alarms for the abnormal of the important field through adjusting dynamic detecting sensors, according to the demands in the video marking field
在該監控系統中,如果檢測到消防報警信號,系統會自動聯動門禁系統打開對于重要區域的視頻劃定動態檢測報警區域,根據機房內不同的環境情況,通過調節動態檢測靈敏度,來實現移動報警系統採用模塊化結構設計,可以方便的進行系統擴充,在本項目最初實施的過程中只安裝了一套指紋加刷卡的門禁系統,在使用的過程中,根據清算中心的要求,需要對機房內的另四道門加門禁系統,則監控系統在不影響原有系統正常運行的情況下,進行系統的平滑升級,最大化的保障系統的安全與用戶的投資。Pfge analysis of these 21 blocked strains revealed a common chromosomal deletion in the 300kb asel fragment which might be responsible for antibiotic 5102 - iii biosynthesis. so the 300kb fragment was recovered and used as probe to hybridize with 10 - 22 genomic library. cosmids in this region were aligned and suitable fragments in this region were selected and used further for the construction of gene replacement plasmids
以此片段為探針釣出了位於該區域的文庫克隆,並利用指紋印跡和雜交技術將這些文庫克隆排列起來,進而以位於該區域的不同位置的片段做臂構建了用於轉化和接合轉移用的基因置換質粒,並試圖通過基因置換將該區域置換下來,但尚未得到最終結果。In image segmentation, the paper improves some common algorithm of gradual segmentation according to its shortcomings. in the first segmentation step, the paper separates one fingerprint image to four parts at first, then confirms foreground board regarded as seeds by gray - level statistical features and apply region growing method, at last combines the four parts to one image that is the first segmentation image. in the second segmentation step, the paper signs the irrecoverable region from the first segmentation image by gray - level and directional statistical features
在指紋圖像分割方面,本文針對一些普通的指紋圖像分級分割演算法的缺點,對它們進行了一些改進:在第一級分割中首先把指紋圖像等分為四個部分,然後利用灰度統計特性分別確定各個部分的前景區小塊,並作為種子塊,再利用灰度及方向等統計特性定義種子區域生長規則並進行前景區域生長,最後將四個部分合成一幅圖像即得到了一幅被分割掉背景的指紋圖像;在第二級分割中利用灰度及方向等統計特性分割掉第一級分割圖像中的不可恢復的模糊區。分享友人