False Color Fusion for Multi-band SAR Images Based on Contourlet Transform

为合成的孔雷达(SAR ) 图象基于 contourlet 转变的多乐队的一个假颜色图象熔化方法被介绍。它以下列方法工作：第一， contourlet 变换的灵活 multiresolution，高 directionality 和 anisotropy 被用于为 SAR 图象实现多尺度的分解。在 contourlet 变换领域，一条边信息测量规则被用来合并方向性的 subbands，并且一条平均规则被用来合并 lowpass subbands。然后，一个混合高增加过滤器算法被建议生产 red-green-blue (红绿蓝) 的隧道基于灰色的熔化图象建模的红、绿、蓝的颜色。最后，假颜色熔化了图象在 RGB 颜色空间被显示。这个方法把灰色的信息翻译成对人的视觉系统可得到的颜色信息并且提高光谱为 SAR 图象的分辨率。试验性的结果被证实建议方法的有效性。

Cross-CNN:基于CNN和Transformer混合模型的动画跨帧线稿着色算法

对长序列的动画线稿帧进行着色是计算机视觉中一项具有挑战性的任务.一方面,线稿中包含的信息较为稀疏,需要着色算法对缺失的信息进行推断;另一方面,连续帧之间的色彩需要保持一致,以确保整个视频的视觉质量.现有的着色算法多数只针对单张图片进行着色,这类算法只给出一个开放性的符合合理范围的色彩结果,无法适用于帧序列着色.另一些基于参考帧的着色算法,并没有将2帧之间的关系有机地联系起来,导致着色效果不够出色.在同一镜头序列中,同一对象的特征往往不会发生太大变化,因此,可以设计一个根据给定参考帧,即可给线稿自动着色的模型.为此,本文提出了基于CNN(Convolutional Neural Networks)和Transformer相结合的模型Cross-CNN,该模型能够从参考帧中寻找并匹配颜色,从而保证时间维度上的特征一致性.Cross-CNN模型参考帧和线稿帧在通道维度叠加,输入预训练的Resnet50网络提取局部融合特征,将融合特征图传给Transformer结构进行编码以提取全局特征.在Transformer结构中设计了交叉注意力机制更好地匹配远距离特征.最后使用带有跳层连接的卷积解码器完成着色图片输出.本文在数据集方面从8部电影中截取画面并经过严格筛选,最终制作了一个包含20000对二元组的数据集用于实验研究.Cross-CNN的SSIM(Structural SIMilarity)达到了0.932,高于SOTA算法0.014.本文算法代码链接:https://github.com/silenye/Cross-CNN.

基于Transformer网络特征融合的色纺织物图像检索

针对单一特征难以准确描述色纺织物图像颜色和纹理的复杂性和各向异性,提出了基于Transformer网络特征融合的色纺织物图像检索算法。首先,利用卷积神经网络模型提取色纺织物图像的高级语义信息;然后,利用Transformer网络融合图像的三阶颜色矩特征,充分利用色纺织物图像的“高级语义信息”和“浅层图像信息”的互补性进行图像检索。采用了14种不同类型的色纺织物样本图像进行检索,该系统的平均Top-10查全率与准确率mAP值分别达到了98.35%和89.25%,相较于融合注意力机制的单一网络模型,检索Top-10的查全率和mAP值均有提升。

An Analysis of Celie's Psychological Transformation in The Color Purple

Alice Walker is widely recognized as one of significant African-American writers and her most prominent work, The Color Purple, has won three awards altogether: the Pulitzer Prize, the America Book Award as well as the National Book Critics Circle Award nomination. It tells the story of how a submissive black girl named Celie undergoes the double oppression of racism and sexism at first, but transforms into an economically andmentally independent black woman eventually. This thesis will analyze Celie's psychological transformation from the perspective of Freud's personality theory and concludes that internal factors for Celie's psychological transformation areof great referential significance for all the women to explore their way to liberation.

A Watermarking Algorithm Based on Wavelet and Hadamard Transform for Color Image

Digital image watermarking is a useful solution to the problem of information security, copyright and network security. In this paper, we propose a watermarking algorithm for color image based HT and DWT. A binary image as watermark is embedded into green component or blue component of color image. The algorithm can satisfy the transparence and robustness of the watermarking system very well. The experiment based on this algorithm demonstrates that the watermarking is robust to the common signal processing techniques including JPEG compressing, adding noise, low pass filter, and mosaic.

基于Transformer网络特征融合的色纺织物颜色表征模型

针对色纺织物特有的呈色结构以及常用单一颜色测量工具导致的数据特征局限的问题,基于Transformer网络建立多源异构数据融合颜色表征模型。从分光计数据与图像数据中分别提取光谱特征与纹理特征,使用Transformer网络融合多源异构数据特征,充分利用其互补特性,有效完备地表征色纺织物颜色信息。结果表明,本文构建的颜色表征模型能够对在较大变化范围内的染色纤维质量配比差异和由于染色纤维表面不均匀分布的颜色变化进行有效表征;在分光光度仪6、10和25 mm测量孔径下,融合特征差异与纤维配比差异的相关系数均高于85%;相较于单一光谱特征和单一图像特征,本文方法的相关系数提升10%以上,具有理想的鲁棒性。

Transforming the Snapdragon Aurone Biosynthetic Genes into Petunia Alters Coloration Patterns in Transgenic Flowers

Aurones belong to a small class of flavonoids that provide yellow color in some floricultural plants including snapdragon. To explore novel flower coloration, two full-length cDNAs encoding chalcone 4'-O-glucosyltransferase (designated as SRY4'CGT) and aureusidin synthase (designated as SRYAS1) in the aurone biosynthetic pathway were cloned from yellow flowers of snapdragon (Antirrhinum majus cv. Ribbon Yellow). Binary vectors were constructed and transformed separately into Petunia hybrida harboring blue flowers. Only a few flowers in 4 out of 9 transgenic SRY4'CGT plants showed variegated blue-white sectors;as time passed, amounts of variegated flowers and proportion of white sectors in the background blue color of the new-born flowers gradually increased, until finally, the petal color was completely white in all late-born flowers. In contrast, a few flowers in 3 out of 13 transgenic SRYAS1 plants showed variegated blue-white sectors;but, the amounts of variegated flowers did not increase over the whole flowering stage, and no complete white flowers were observed. RNA samples isolated from blue and white sectors of T1 transgenic SRY4'CGT plants were analyzed by reverse transcription-PCR, transgenic SRY4'CGT transcripts were detected in both sectors;however, transcripts of an upstream gene, chalcone synthase (CHS), were abundantly detected in the blue sectors but largely reduced in the white sectors, suggesting that the expression of CHS gene was suppressed in white sectors of transgenic plants. Furthermore, HPLC coupled with mass spectrometry demonstrated cyandin, malvidin and their derivatives were absent in white sectors, causing the white phenotype. Our findings may be attractive to molecular breeders.

Study on Tri-Stimulus Transformation

To decrease number of samples for the implementation of color space transformation, a method for modeling the chromatic characterization of video cameras was proposed. An additional transformation was required to predict output RGB values for an input color. This additional transformation was based on spectral reflectance relationship. The transformed color coordinates were taken as inputs of a multilayer neural network. Based on network outputs, the RGB values to be predicted were calculated. Experimental results were given to illustrate the performance of the method. Even though much less number of training samples are used, this method can also perform well on this color space transformation.

Neural Network Method for Colorimetry Calibration of Video Cameras

To transfer the color data from a device (video camera) dependent color space into a device? independent color space, a multilayer feedforward network with the error backpropagation (BP) learning rule, was regarded as a nonlinear transformer realizing the mapping from the RGB color space to CIELAB color space. A variety of mapping accuracy were obtained with different network structures. BP neural networks can provide a satisfactory mapping accuracy in the field of color space transformation for video cameras.

基于Swin Transformer的疟疾细胞图像识别研究

为了协助医务人员更准确、更快速地诊断疟疾,提出一种基于Swin Transformer(SwinT)的疟疾细胞图像识别方案。方案采用伪彩色图像增强算法对血片图像进行预处理,以突出图像的颜色对比度,并引入SwinT模型作为主干网络,解决下采样固定和全局信息无法交互的问题,同时引入卷积层对图像进行线性变换,构建残差网络解决梯度消失和梯度爆炸问题。实验表明,与图像量化等其他图像增强方法相比,本文方法增强了疟疾细胞图像的色彩对比度,改进后方案的准确率达到99.7%,高于现有文献方法,可以对疟疾的辅助治疗带来更有价值的支持。

Color Image Segmentation Based on HSI Model

he objective of the research is to develop a fast procedure for segmenting typical videophone images. In this paper, a new approach to color image segmentation based on HSI(Hue, Saturation, Intensity) color model is reported. It is in contrast to the conventional approaches by using the three components of HSI color model in succession. This strategy makes the segmentation procedure much fast and effective. Experimental results with typical “headandshoulders” real images taken from videophone sequences show that the new appproach can fulfill the application requirements.

Image matching algorithm based on SIFT using color and exposure information

Image matching based on scale invariant feature transform（SIFT） is one of the most popular image matching algorithms, which exhibits high robustness and accuracy. Grayscale images rather than color images are generally used to get SIFT descriptors in order to reduce the complexity. The regions which have a similar grayscale level but different hues tend to produce wrong matching results in this case. Therefore, the loss of color information may result in decreasing of matching ratio. An image matching algorithm based on SIFT is proposed, which adds a color offset and an exposure offset when converting color images to grayscale images in order to enhance the matching ratio. Experimental results show that the proposed algorithm can effectively differentiate the regions with different colors but the similar grayscale level, and increase the matching ratio of image matching based on SIFT. Furthermore, it does not introduce much complexity than the traditional SIFT.

Image retrieval based on color features integrated with anisotropic directionality

A novel image retrieval approach based on color features and anisotropic directional information is proposed for content based image retrieval systems （CBIR）. The color feature is described by the color histogram （CH）, which is translation and rotation invariant. However, the CH does not contain spatial information which is very important for the image retrieval. To overcome this shortcoming, the subband energy of the lifting directionlet transform （L-DT） is proposed to describe the directional information, in which L-DT is characterized by multi-direction and anisotropic basis functions compared with the wavelet transform. A global similarity measure is designed to implement the fusion of both color feature and anisotropic directionality for the retrieval process. The retrieval experiments using a set of COREL images demonstrate that the higher query precision and better visual effect can be achieved.

DWT-Based Robust Color Image Watermarking Scheme

A scheme of embedding an encrypted watermark into the green component of a color image is proposed. The embedding process is implemented in the discrete wavelet transformation （DWT） domain, The original binary watermark image is firstly encrypted through scrambling technique, and then spread with two orthogonal pseudo-random sequences whose mean values are equal to zero, and finally embedded into the DWT low frequency sub-band of green components, The coefficients whose energies are larger than the others are selected to hide watermark, and the hidden watermark strength is determined by the energy ratio between the selected coefficients energies and the mean energy of the subband. The experiment results demonstrate that the proposed watermarking scheme is very robust against the attacks such as additive noise, low-pass filtering, scaling, cropping image, row （or column ） deleting, and }PEG compression.

Shadow Detection and Compensation for Color Aerial Images

A method for shadow detection and compensation for color aerial images is presented. It is considered that the intensity value of each image pixel is the product of illumination function and ground object reflection, and the shadowed regions on the image are mainly caused by the short of illumination, so the information compensation for the shadowed regions should concentrate on the illumination adjustment of concerned area on the basis of the analysis of whole image. The shadow detection and compensation procedure proposed by this paper consists of four steps.

Stochastic responses of Duffing–Van der Pol vibro-impact system under additive colored noise excitation

A response analysis procedure is developed for a vibro-impact system excited by colored noise. The non-smooth transformation is used to convert the vibro-impact system into a new system without impact term. With the help of the modified quasi-conservative averaging, the total energy of the new system can be approximated as a Markov process, and the stationary probability density function （PDF） of the total energy is derived. The response PDFs of the original system are obtained using the analytical solution of the stationary PDF of the total energy. The validity of the theoretical results is tested through comparison with the corresponding simulation results. Moreover, stochastic bifurcations are also explored.

Preprocessing of Separating Leukocytes Based on Setting Parameters of Lightness Transformation

This paper proposed a new algorithm to separate leukocytes from cytological image by setting parameters of lightness transformation based on the RGB color space, which can make the targets’ color in different areas. In our procedure, an operator is employed in using color features. According to their histogram distribution of hue component in HSL color space after enhancing the contrast of image in RGB color space, the threshold of segmentation between leukocyte and erythrocyte could be achieved well. Especially, this algorithm is more efficient than monochrome for leukocyte segmentation, and the results of experiments show that it provides a good tool for cytological image, which can increase accuracy of segmentation of leukocyte.

The Tale of Cotton Plant: From Wild Type to Domestication, Leading to Its Improvement by Genetic Transformation

Cotton is considered as a major cash crop of the world. It earns huge foreign exchange by its valuable products;fiber, lint, cotton seed oil, hull and a lot more. Being an important fiber crop, it earns huge foreign exchange by contributing to textile and seed oil industry. This review summarizes cotton biology, its diversity and domestication, genome assembly, constraints in its production and methods to improve cotton plant to fulfill the need of textile and oil industry. But cotton is facing enormous biotic and abiotic stresses with insect pests being most prominent. Massive destruction caused by insects needs to be controlled for maintaining fruitful cotton crop production. Conventional breeding approaches are limited to improving single trait and integrate stable genes within plant genome in approximately 7 - 8 years. Improved biotechnological procedures have paved new pathways to target genes specifically and improve cotton germplasm in lesser time than conventional breeding.

Circle Detection Based on HSI Color Space

A method based on HSI color space is presented to solve the problem of circle detection from color images. In terms of the evaluation to the edge detection method based on intensity, the edge detection based on hue is chosen to process the color image, and the simplified calculation of hue transform is discussed. Then the algorithm of circle detection based on Canny edge detection is proposed. Due to the dispersive distribution of the detected result, Hough transformation and template smooth are used in circle detection, and the proposed method gives a quite good result.

A New Content Based Image Retrieval Model Based on Wavelet Transform

Searching interested images based on visual properties of images is a challenging problem and it has received considerable attention from researchers in the fields like image processing, computer vision and multimedia systems in the last 20 years. While the importance and the effect of the image features like color, texture and shape have been taken into account in many papers, there have not been many studies on the importance of the color spaces on the performance of Content Based Image Retrieval (CBIR) systems. In this paper we first experimentally study the effect of choosing color space on the performance of content based image retrieval using Wavelet decomposition of each color channel. To this end, the retrieval results of different color spaces like RGB, YUV, HSV, YCbCr and Lab are analyzed. Then as a result a new Content Based Retrieval model using Wavelet Transform in Lab color space and Color Moments is proposed. In order to increase the efficiency of the proposed model some division schemes are taken into account which improves the performance of the proposed model. The proposed model tackles one of the important restrictions in content based image retrieval, namely, the challenge between the accuracy of retrieval and its time complexity. The experimental results on two databases [19] [24] demonstrate the superiority of the proposed model compared to existing models.