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Realization of automated reading and video processing to study efficient algorithms for tracking the dynamics of growth and spread of spores of mesophilic and thermophilic microorganisms were studied. The basic steps based on the algorithm of automatic counting and tracking spore colonies in real time were investigated.
Visual saliency detection is usually a prerequisite for image processing tasks like object segmentation, object recognition and information compression. In this work, we first present a novel method that combines cognitive-based objectness and image-based saliency to obtain a better saliency map with less negligible background information. Then, by introducing some top-down attention priors, we further...
Level set methods have been extensively used in contour recognition and image segmentation. The traditional level set methods require to initialize the level set function regularly and are strongly dependent on initial contour position thus there are many problems about the methods. Considering those problems, this article proposed a new level set method to draw geometric active contour self-adaptively...
OCR is the most active, interesting evaluation invention of text cum character processing recognition and pattern based image recognition. In present life OCR has been successfully using in finance, legal, banking, health care and home need appliances. The OCR consists the different levels of processing methods like as Image Pre Acquisition, Classification, Post-Acquisition, Pre-Level processing,...
The paper discusses an algorithm for the recognition of seven segment numbers on a display, so that the algorithm can be utilized for applications such as automated reading of LCD-based meters. The algorithm outlines a 7-step process consisting of four types of operations-Object Detection, Noise Removal, Image Segmentation and Numeral Recognition based on pixel density feature extraction. The performance...
The relevance of this study is stipulated by the necessity of designing algorithms allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to noise, affine and projective transformations. Purpose: Development of algorithms and software system allowing to improve the efficiency of characters recognition on images with complex backgrounds subjected to...
The current state of diagnosis of nasopharyngeal approach to image interpretation is artificial, but this way will be sentenced to cross-cultural experience for each practice discrimination and may lead to refractory time delay. We used the image taken from radiologists and applied the Unsharp Mask to enhance the image edge. In order to reduce the computation time and increase the efficiency, the...
Binarization is often recognized to be one of the most important steps in most high-level image analysis systems, particularly for object recognition. However, from passed decades the most common way of arriving to a binarization of image was through a threshold, many times in a supervised way. In this work, a new algorithm is introduced for the no-supervised binarization, where the step of the parametric...
This paper contains development of methods and algorithms of computer vision for image recognition of mineral spices. It is described CASE-technology for automated systems development was used to create computer vision system for assessing the qualitative composition of mineral rocks. Methods and algorithms of computer vision of mineral rocks, in particular problems of the algorithm for automatic...
This paper presents time monitoring of vehicles using motion detection, vehicle tracking and number (license) plate identification technique. The time monitoring process is getting complex due to increase in the number of vehicles inside universities, colleges, companies or schools. The traffic flow at peak hours inside the campus, need to be monitored in an efficient way. Therefore, to automate this...
Pre-processing part in fingerprint image recognition system is fingerprint image segmentation. Even after the years of research in the field of image segmentation, it is still a challenging task. An image segmentation algorithm is proposed, named as Adaptive (scale) and Orientation (vector) algorithm, for effective segmentation of fingerprint images. The basic idea of the proposed algorithm is originated...
The traditional artificial cigarette review methods are difficult to match the high-speed automatic cigarette sorting system. In this paper, a new cigarette recognition method using the uniqueness of cigarette bar codes was proposed. Firstly, a binary image filtering algorithm based on square adaptive structure element of mathematical morphology (SASEMM) was used to get several potential sub-regions,...
An efficient approach to recognize alphanumeric characters from different type of images using hybrid algorithm has been used in this paper. This algorithm can recognize characters from 90 percent blurred image whose blurredness has removed by using convolution operation. The algorithm is implemented using vision and motion toolkit of LabVIEW software. The real time images of license plates whose...
This paper contains short description of cluster analysis algorithm for the mineral rock recognition in the mining industry. In this paper it describes the algorithm for automatic segmentation of color images of rocks, using the methods of cluster analysis. There are results of studies different color spaces for clustering k-means. Some realizations of this algorithm for computing the grading of mineral...
This paper proposes a clustering based image segmentation approach for elephant recognition. Appreciable recognition rate was achieved by k-means clustering technique followed by feature extraction and K nearest neighbour (K-NN) classifier. The k-means algorithm employs the concept of fitness and belongingness to provide a more adaptive andbetterclustering process as compared to several conventional...
Looking for fast, automatic, less expensive and accurate method to detect plant diseases is of great realistic significance. By using the symptoms of the plant disease leaves, a supervised orthogonal nonlinear dimensionality reduction algorithm, named orthogonal locally discriminant projection (OLDP), is presented for plant disease recognition in this paper. The proposed algorithm aims to find a projecting...
Recognition of clustered fruits and vegetables is a most challenging subject in researches on the vision system of harvesting robot. A recognition algorithm for clustered tomatoes based on mathematical morphology was tested. This algorithm mainly included four steps. First, tomato image segmentation was realized based on a normalized color difference. Second, clustered region could be recognized according...
Warped text-lines often appear whenever one performs the digitalization of bound documents using flatbed scanners or digital cameras. Compensating such distortion is an important pre-processing step in document transcription via OCR, for instance. This paper presents an efficient algorithm for text-line segmentation for document images. A typographic study and parameter tuning are done yielding into...
Handwritten text recognition is an active research area for many years. Handwritten text recognition needs to perform some preprocessing steps for better recognition. Initially, we find binary image of given handwritten text document and then after performing the line segmentation task on handwritten text document, we have to normalize to the segmented lines. There are various normalization task we...
Lanna script is an archaic script not commonly used in today's world. People trying to read these archaic Lanna manuscripts have to find some form of translation help to understand what they said. Unfortunately, few people nowadays know how to read or write this language. Therefore, character recognition system must be put to use in order to translate the Lanna script to the commonly used script....
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