The basic preprocessing pipeline contains two new methods: Motion Adjustment and Artifact Repair. The pipeline separates the motion adjustment and artifact removal algorithms into the preprocessing before GLM estimation, thus, motion regressors are not needed in the design matrix. The intermediate data can be reviewed at any step using the Contrast Movie, the RMS image, or plots of single voxel...

Preprocessing and feature extraction can significantly enhance the performance of a neural network based classifier. In this paper several feature extraction techniques including edge filters, local features and distance transformation are selected for image preprocessing in order to improve the recognition accuracy in combination with a neural network classifier. The visual object recognition ...

Plants play an important role for the development of human society. The urgent situation is that due to environmental degradation, many rare plant species on the earth are still unknown and are at the margin of extinction, so it is necessary to keep record for plant protection. This research focuses on using digital image processing for the purpose of automate classification and recognition of ...

Background: Digital image processing and analysis are used for computer assisted evaluation of sperm morphology. Sperm head morphology has been identified as a characteristic that can be used to predict a male’s semen quality. On the other hand, zygote competence analysis is an importance tool to select embryo(s) for transfer. The aim of the present study is to determine zygote quality resulted...

Introduction Diffusion tensor based voxel-wise analysis (DT-VBA) has been increasingly used to investigate subtle differences in brain white matter microstructure among various types of patient groups and groups of control subjects.[1-2] The method provides an inference of inter-group differences in white matter integrity on a voxel-wise basis in a standardized space. Spatial normalization is a...

We present the evaluation of a product identification task using the LIRe system and SURF (Speeded-Up Robust Features) for content-based image retrieval (CBIR). The evaluation is performed on the Fribourg Product Image Database (FPID) that contains more than 3’000 pictures of consumer products taken using mobile phone cameras in realistic conditions. Using the evaluation protocol proposed with ...

In this paper, a novel face recognition technique based on discrete wavelet transform and Adaptive Local Binary Pattern (ALBP) with directional statistical features is proposed. The proposed technique consists of three stages: preprocessing, feature extraction and recognition. In preprocessing and feature extraction stages, wavelet decomposition is used to enhance the common features of the sam...

The k nearest neighbor classification method is one of the humblest method in conceptually and it is a top method in image mining. In this work, the enhanced k nearest neighbor (EKNN) technique has been implemented to identify the cancer and automatic classification of benign and malignant tissues in the huge amount of lung cancer image datasets. In this proposed system, we have used three stag...

Integrity tests are proposed for image processing algorithms that should yield essentially the same output under 90 degree rotations, edge-padding and monotonic gray-scale transformations of scanned documents. The tests are demonstrated on built-in functions of the Matlab Image Processing Toolbox. Only the routine that reports the area of the convex hull of foreground components fails the rotat...

In non destructive testing of materials, the ultrasonic imagery is a field in full rise. Indeed , more than one convivial representation of the results , the operations of detection , localization and sizing of the defects can be carried out automatically by the analysis of synthesized images. The problem breaks up in general into a phase of preprocessing to only limit the quantity of informati...