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Early detection and prediction of pests in field automatically is an important topic in modern agriculture engineering. In this paper, we design a program that can detect geometrid larvae automatically using image processing technology. Firstly, according to color characterization of larvae, we extract brown larvae candidates from image with background of green leaves. We use morphological operation...
The fresh and defective beef identification by consumers is subjectively through visual observation. However, identifying beef quality manually has disadvantage, there is human visual limitations, differences in human perception in assessing the quality of an object, and ability of each individual knowledge are different. Therefore, we need a technological device that can be applied to identify the...
The image processing arose from the idea of the necessity to replace the human observer by a machine. The interest of this paper is to replace the medical image by information interpretable. Usually, experts have manually performed to count the cell nuclei biopsy samples, one by one. This method ensures that accuracy is achieved in the final diagnosis delivered by pathologists, but the time until...
Multicolored Matrix (MCM) Code is a two-dimensional color coded matrix. It consists a sequence of images rendered at an optimum frame rate to transfer simple data between portable devices such as a mobile phone. We introduce an untried channel-less short range communication technology, designed with limitless storage capacity, great structural stability and flexibility due to which it can work in...
This paper presents a colour-based and contour based segmentation methods to aid doctors in Gastrointestinal (GI) Endoscopy examination process. These methods are proposed to enhance existing GI Endoscopy image processing applications. Based on the previous existing GI image processing applications, these algorithms are developed to assist doctor in diagnosis process while identifying the type of...
Agriculture is a most important and ancient occupation in India. As economy of India is based on agricultural production, utmost care of food production is necessary. Pests like virus, fungus and bacteria causes infection to plants with loss in quality and quantity production. There is large amount of loss of farmer in production. Hence proper care of plants is necessary for same. This paper presents...
As smart-phones become more and more popular, there is growing demand on the mobile version of image processing applications. Due to the limitations on the mobile hardware, the computational load and the amount of data transfer should be more efficient. In this paper, we try to improve the implementation of the histogram equalization algorithm by leveraging the decimation approach. The conventional...
This paper proposes a new method of detecting license plates in images of vehicles where the license plate is shown, and reports the detection results when this method was applied to detection of license plates on vehicles in Japan. This license plate detection process detects only the edge vertical components, and the candidate license plates are narrowed down using the contours obtained by dilation...
Sorting is one of the important tasks in production line and it has an appreciable effect to the homogeneous of products. Using vision system to increase productivity in automatic sorting system interests a large of researchers. In this paper, we recommend a vision sorting system based on computer that can identify the position and properties of fruits. The sorting system uses the high resolution...
This paper presents a method used for detection of optic nerve in fundus digital images; for this purpose, initially there is a preprocessing and segmentation of digital images of fundus taken from databases Messidor and Stare in order to stand out the veins and blood vessels of ocular region. The processed image is used in an artificial neural network which has three layers; an input layer with 10000...
Improving inventory management is essential to retailer profitability. This paper proposes a supervised learning approach for Out-of-Stock (OOS) detection by Texture, Color and Geometry features in high-resolution panoramic images of grocery retail shelves. Cascade classifiers are used to detect labels that can potentially be used to confirm the presence of the OOS cases. The image acquisition setup...
Acute lymphoblastic leukemia is a form of blood cancer caused due to the abnormal increase in the production of immature white blood cells in the bone marrow, mostly affecting children below 5 years and adults above 50 years of age. The ailment has to be detected and treated at an early stage for recovery. Early signs of the disease in children include fever and bruising which can go unnoticed during...
Salak is one of potential export commodities from Indonesia. However, the main obstacle to perform Salak export is transportation which requires rigorous selection of the fruit. In the current packaging process, this sortation is done manually. In this study, convolution neural network (CNN) is applied to automatically distinguish quality of Salak. Input used in this study is the image of salak. The...
In this paper, we propose a computer vision system that detects the external defects of orange citrus fruits using multi-spectral imaging sensor. First, the proposed algorithm segments the orange fruit from the captured Near-Infra Red (NIR) and RGB images using only the NIR component. Second, some adaptive pre-processing techniques are applied on the segmented RGB and NIR orange fruit images. Hence,...
Dichromats (a human with red-green color blindness considered in this paper) cannot always perceive meaningful visual information due to their deficiencies in eye cells. Stroke information extraction from a color-blindness image (CBI) is presented in order to deliver direct and effective information to dichromats. A CBI is first transformed into the pattern-highlighted image by means of color component...
There are many algorithms for image segmentation, but there is no optimal algorithm for all kind of image applications. To recommend an adequate algorithm for segmentation is a challenging task that requires knowledge about the problem and algorithms. Meta-learning has recently emerged from machine learning research field to solve the algorithm selection problem. This paper applies meta-learning to...
Emotions are one of the most important cues of non-verbal communication, therefore are easily recognized by people. However, correct identification of intentions causes many problems, because telling apart the true emotion expression from the fake one is difficult. Therefore, there is a wide search nowadays for automatic techniques, which use computers to analyze behavior of people and learn the differences...
Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. In this research paper, we provide an approach to detect various kinds of these diseases. We use a dual stage approach which effectively combines Computer Vision and Machine Learning on clinically evaluated histopathological...
The detection of microaneurysms (MAs) in color fundus images remains an open issue in the medical image processing due to the low availability of reliable programs. In this paper, we present a system for automated detecting of MAs based with the techniques Hessian matrix and contrast limited adaptive histogram equalization (CLAHE). Thus, features extraction as optical disc, vascular tree and other...
The paper presents the automatic method to examine the histological Whole Slide Images of hemorrhoids. The specimen were stained by Hematoxiline and Eosine, and evaluated by number of vessels, occurrence blood clots and hemorrhage. The proposed method is based on colour deconvolution, mathematical morphology, decision tree classification, region growing operation and region reconstruction. The results...
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