method for detecting objects on different gray background

• 1. 一种移动背景下的运动物体检测与分割方法 [P] . 中国专利： CN107437257A . 2017-12-05
• 2. 基于背景减法的运动物体检测方法与轨迹跟踪方法 [P] . 中国专利： CN111724416A . 2020-09-29
• 3. The method for detecting objects in different gray background [P] . 德国专利： DE2252942A1 . 1974-05-02

  机译： 在不同灰色背景下检测物体的方法

• 4. Computer-implemented method of detecting foreign object on background object in an image, apparatus for detecting foreign object on background object in an image, and computer-program product [P] . US11238301B2 . 2022-02-01

  机译： 在图像中检测外来对象的计算机实现的方法，用于在图像中的背景对象上检测异物的装置，以及计算机程序产品

• 5. COMPUTER-IMPLEMENTED METHOD OF DETECTING FOREIGN OBJECT ON BACKGROUND OBJECT IN AN IMAGE, APPARATUS FOR DETECTING FOREIGN OBJECT ON BACKGROUND OBJECT IN AN IMAGE, AND COMPUTER-PROGRAM PRODUCT [P] . US2021233245A1 . 2021-07-29

  机译： 在图像中检测外来对象的计算机实施方法，在图像中的背景对象上检测外来对象的装置，以及计算机程序产品

• 1. Moving object detection method based on complementary multi resolution background models [J] . 屠礼芬, 仲思东, 彭祺 中南大学学报（英文版） . 2014,第006期
• 2. Novel Gaussian mixture model background subtraction method for detecting moving objects [C] . Xiaofeng Lu, Caidi Xu IEEE International Conference of Safety Produce Informatization . 2018
• 3. Using adaptive thresholding and skewness correction to detect gray areas in melanoma in situ images. [D] . Hagerty, Jason. 2016
• 4. Cultural differences in the visual processing of meaning: Detecting incongruities between background and foreground objects using the N400 [O] . Sharon G. Goto, Yumi Ando, Carol Huang, 2010
• 5. Implementation of moving object detection using angle change method This paper conclude the work in terms of input and output parameter that has been considered while detecting the moving object in video surveillance. It also provides with a look up of our work area. This paper presents a discussion of various techniques like Background subtraction, Block matching, Frame differencing, Optical Flow used in motion detection and also include the comparative analysis of two algorithms first is Colour method(Space vector difference method) and second is angle change method. [O] . 2017
• 6. An analog retina model for detecting dim moving objects against a bright moving background [R] . Searfus, R. M., Colvin, M. E., Eeckman, F. H., 1991

• 1. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004） （P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期
• 2. Moving object detection method based on complementary multi resolution background models [J] . 屠礼芬 ,仲思东 ,彭祺 . 中南大学学报 . 2014,第006期
• 3. On Segmentation of Moving Objects by Integrating PCA Method with the Adaptive Background Model [J] . Noureldaim Emadeldeen ,Mohammed Jedra ,Noureldeen Zahid . 信号与信息处理（英文） . 2012,第3期
• 4. BACKGROUND RECONSTRUCTION AND OBJECT EXTRACTION BASED ON COLOR AND OBJECT TRACKING [J] . XIANG Guishan ,WANG Xuanyin ,LIANG Dongtai . 中国机械工程学报 . 2006,第003期
• 5. 动态背景下的运动物体检测方法研究 [C] . YUAN Jiao-jiao ,员娇娇 ,BAO Hong . 第十九届网络新技术与应用年会 . 2015
• 6. 动态背景下运动物体检测与识别 [A] . 马森 . 2015