Electroluminescence (EL) measurements allow one to detect damages and/or defective parts in photovoltaic systems. In principle, it seems possible predict the complete current/voltage curve from such pictures even automatically. However, a precise analysis requires image corrections and calibrations, because vignetting lens distortion cause signal spatial distortions. Earlier works on crystallin...

Today, there are many documents in the form of digital images obtained from various sources which must be able to processed by a computer automatically. One document image processing is text feature extraction using OCR (Optical Character Recognition) technology. However, cases technology unable read characters accurately. This could due several factor such as poor quality or noise. In order ge...

The main purpose of the proposed system is to develop the diagnosis breast cancer from mammogram image. Presented system includes Preprocessing on mammogram image and uses wavelet feature extraction to improve sensitivity. The proposed system involves three major steps-Preprocessing, Feature Extraction and Classification. Gabor wavelets based features are extracted from medical mammogram images...

Excessive training time is a major issue face when autonomous vehicle agents with neural networks by using images as input. This paper proposes deep time-economical Q network (DQN) input image preprocessing method to train an agent in virtual environment. The environmental information extracted from the A top-view of entire environment then redrawn according information. During DQN model, cropp...

Image processing, analysis and computer vision techniques are found today in all fields of medical science. These techniques are especially relevant to modern ophthalmology, a field heavily dependent on visual data. Retinal images are widely used for diagnostic purposes by ophthalmologists. However, these images often need visual enhancement prior to apply a digital analysis for pathological ri...

Illumination variation is one of intractable yet crucial problems in face recognition and many lighting normalization approaches have been proposed in the past decades. Nevertheless, most of them preprocess all the face images in the same way thus without considering the specific lighting in each face image. In this paper, we propose a lighting aware preprocessing (LAP) method, which performs a...

The paper introduces a high-frame-rate and high-resolution image acquisition system with DVI Interface, which uses the CMOS image sensor of 2.3 million pixels as the light-sensitive chip and a high-performance FPGA as the main processor. In order to get better image quality and correct the unrealistic color, the image preprocessing is implemented based on FPGA, including color space conversion ...

In this paper, we describe the system including image preprocessing, feature descriptor extraction, classification method and fusion techniques that we applied for LifeCLEF 2015 multi-organ plant identification task. In the preprocessing step, we apply relevant preprocessing techniques for each type of plants’ organs based on the characteristic of the organs. For the feature descriptor, we prop...