Color Texture Classification Using Adaptive Discrete Multiwavelets Transform

The classification of textures images has attracted the attention of many researchers. The multiscale techniques for gray level texture analysis have been intensively studied. In this paper, we aim on extending texture classification of color images by using the multiwavelets transform, a new notion addition to wavelet. The recognition of textures deals with both feature extraction and classification phases. In the classification phase the evolutionary computation techniques (genetic programming) was used for more speed recognition result evaluation. In our experiment results the proposed method has achieved 99.6% test accuracy on an average. In addition, the experimental results also show that classification rules generated by this approach are robust to some noises on texture

Effect of packages types and some treatments on wheat seed during storage

This experiment was conducted at the laboratory of Seed Technology Sakha Agricultural Research Station, Kafr EL-Sheikh, Egypt, during the period between 2018 and 2019 seasons. The aim of this study was to evaluate the effect of packages types and some treatments on wheat seed during storage. The experiment was designed in factorial experiment in completely randomized design with four replicates. The samples were treated with the recommended dose of malathion, recommended rate of phosphine, the powders and extracts of each of (ficus, camphor, clove), the powder of copper nanoparticles and untreated seed as a control treatment. Treated seed were stored in different packages (Jute, Plastic and Polyethylene) for 18 months. The most important results can be summarized as follows: Increasing storage periods of wheat seed up to 18 months significantly affected storage efficacy, vitality and quality of wheat seed. The best results of storage efficacy of wheat recorded when seed stored in polyethylene packages, followed by seed stored in jute packages and lastly stored in plastic packages. Seed treated with copper nanoparticles were the best in germination percentage, electrical conductivity, acidity, protein percentage, carbohydrate percentage, relative density and 1000-seed weight. While treatment with malathion was the best in acidity, relative density, 1000- seed weight and insect infestation percentage. As for phosphine, it was the best in moisture percentage, insect infestation percentage and weight loss percentage. This study recommended that treated seed with copper nanoparticles before storage and stored it in polyethylene packages under the environmental conditions of the experiment in Sakha, Kafr EL-Sheikh, Egypt

Pedigree selection in two Egyptian cotton crosses for some traits

One cycle of direct Pedigree selection was performed with selection intensity 5 % to improve productivity with accepTable fiber quality of the two Egyptian cotton ( G. barbadense L.) cross combinations. Comparing mean performance of F2 with those of F3 generation revealed increased mean values for all traits with advanced generations from F2 to F3, indicating accumulation of increasing alleles. The phenotypic variance for all traits was highly significant through F2 and F3 generations. Heritability estimates in broad sense improved considerably for all traits from F2 to advanced F3 generations. The genotypic correlation between three earliness characters was highly significant negative with most yield traits in F2 pop. I. While genotypic correlation between the previous earliness traits with yield traits in F3 generation was positively non-significant except for lint percentage that was highly significant positive. Genotypic correlation was highly significant positive among most yield and yield component traits in both generations, which helps pedigree selection to achieve high fast genetic advance. The data of the genotypic correlation among studied characters in F2 and F3 generations in population II showed highly significant negative genotypic correlation between earliness traits in F2 generation, changed to highly significant positive in F3 generation after applying pedigree selection. The genotypic correlation between most yield characters and fiber properties showed highly significant positive correlation in population II in both generations. The superior ten families in F3 generation in both populations ranked on high yield, yield components and fiber quality showed higher means than that of F2, F3, better parent and check in most yield character

Generate Animated CAPTCHA Based on Visual Cryptography Concept

CAPTCHA is a standard security technology. To date, the most commonly used are various types of visual CAPTCHAs, in which a challenge often appears as an image of distorted text that the user must decipher. The proposed scheme is used visual cryptography encryption protocol to encrypt CAPTCHA image in perfectly secure way, such that only the human visual system can easily decrypt the CAPTCHA image with animated arrangement. Numbers of blurring image process are implemented on the CAPTCHA images, to make this test difficult for current computer systems. The new animated CAPTCHA is more secure than the currentversions and easier for humans to pass

Pedigree selection in two Egyptian cotton crosses for some traits

One cycle of direct Pedigree selection was performed with selection intensity 5 % to improve productivity with accepTable fiber quality of the two Egyptian cotton ( G. barbadense L.) cross combinations. Comparing mean performance of F2 with those of F3 generation revealed increased mean values for all traits with advanced generations from F2 to F3, indicating accumulation of increasing alleles. The phenotypic variance for all traits was highly significant through F2 and F3 generations. Heritability estimates in broad sense improved considerably for all traits from F2 to advanced F3 generations. The genotypic correlation between three earliness characters was highly significant negative with most yield traits in F2 pop. I. While genotypic correlation between the previous earliness traits with yield traits in F3 generation was positively non-significant except for lint percentage that was highly significant positive. Genotypic correlation was highly significant positive among most yield and yield component traits in both generations, which helps pedigree selection to achieve high fast genetic advance. The data of the genotypic correlation among studied characters in F2 and F3 generations in population II showed highly significant negative genotypic correlation between earliness traits in F2 generation, changed to highly significant positive in F3 generation after applying pedigree selection. The genotypic correlation between most yield characters and fiber properties showed highly significant positive correlation in population II in both generations. The superior ten families in F3 generation in both populations ranked on high yield, yield components and fiber quality showed higher means than that of F2, F3, better parent and check in most yield character

Soil compartment is a major determinant of the impact of simulated rainfall on desert microbiota

Although desert soils support functionally important microbial communities that affect plant growth and influence many biogeochemical processes, the impact of future changes in precipitation patterns on the microbiota and their activities is largely unknown. We performed in-situ experiments to investigate the effect of simulated rainfall on bacterial communities associated with the widespread perennial shrub, Rhazya stricta in Arabian desert soils. The bacterial community composition was distinct between three different soil compartments: surface biological crust, root-attached, and the broader rhizosphere. Simulated rainfall had no significant effect on the overall bacterial community composition, but some population-level responses were observed, especially in soil crusts where Betaproteobacteria, Sphingobacteria, and Bacilli became more abundant. Bacterial biomass in the nutrient-rich crust increased three-fold one week after watering, whereas it did not change in the rhizosphere, despite its much higher water retention. These findings indicate that between rainfall events, desert-soil microbial communities enter into stasis, with limited species turnover, and reactivate rapidly and relatively uniformly when water becomes available. However, microbiota in the crust, which was relatively enriched in nutrients and organic matter, were primarily water-limited, compared with the rhizosphere microbiota that were co-limited by nutrients and water

Role of dynamic contrast enhanced MRI in evaluation of post-operative breast lesions

Purpose To evaluate the role of dynamic contrast enhanced magnetic resonance imaging in differentiation between benign postoperative changes and recurrent malignant tumor. Patients & methods: This study was performed during the time from August 2014 till August 2015. Enrolled in this study were 50 female patients and all of them were breast cancer patients that had been candidates for breast conserving surgery, modified radical mastectomy and reconstructive surgery using autologous tissue reconstruction; DCE-MRI was done for all patients. Results: In this study, 12 patients (24%) were with recurrent malignant tumor, 7 patients (14%) with postoperative fat necrosis, 10 patients (20%) with postoperative seroma, 10 patients (20%) with diffuse skin thickening and edema, and 6 patients (12%) with postoperative scar tissue; the remaining 5 patients (10%) were normal. Dynamic contrast enhanced MRI has sensitivity of 85.7%, specificity of 100%, PPV of 100%, NPV of 93.3% and accuracy of 95.6% in differentiation between benign postoperative changes and recurrent malignant tumors