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Lung Segmentation is the first and important image processing step for the detection and the diagnosis of lung cancer, namely CADe and CADx respectively. In this paper, a new Lung Segmentation method is introduced which performs faster than any other existing methods without compromising the accuracy of the segmentation.
Computer vision occupies an important position in the recognition of the image processing, in order to accurately get the grape disease and the degree of damage. In this paper, an image segmentation technique is proposed to improve the morphological watershed algorithm, and edge detection and threshold segmentation are used to realize the image in the normal parts and diseased parts of the grape....
Sign language automatic recognition is an important research area with open challenges that aims to mitigate the obstacles in the daily lives of people who are deaf or hard of hearing and increase their integration in the predominantly hearing society in which we live. This paper implements, evaluates and discusses strategies for automatic recognition of Brazilian Sign Language (BSL) signs, which...
This paper presents a general framework for live detection of broilers in poultry houses. The challenges for image recognition of broilers are posted by crowded scenes, poor image quality and difficulty in acquiring a benchmark of labeled samples. The proposed framework consists on the use of image thresholding, morphological transformations, feature engineering, in addition to supervised and unsupervised...
This paper proposes a convolutional neural network architecture for blood vessel segmentation in retinal images. The network structure is designed on 7 layers using MatConvNet (three convolutional layers, two pooling layers, one dropout layer and a Softmax layer). The input data, selected from the DRIVE database, of the neural network is preprocessed in Matlab on Green channel. The retinal image was...
Although image segmentation technology has achieved rapid development, threshold method is still an indispensable part in many practical applications. The most advanced methods do not perform well in the segmentation of many different types of images. Therefore, it is expected that the optimal segmentation method can be obtained for images with different modalities. In this paper, a robust threshold...
Region growing is an image segmentation algorithm extremely useful for continuous regions extraction. It defines an initial set of seeds, according to a specific criteria, and iteratively aggregates similar neighbor pixels. The algorithm converges when no pixel aggregation is performed in a certain iteration. Within this research project, region growing is employed for the segmentation of cracks in...
In our daily life we develop many activities that result imperceptible for the majority of us because the null effort that they represent to develop them, however, when we most develop those activities with any type of restriction, they acquire a higher level of difficulty. One simple activity is the communication process; we develop it in an easy way during almost all day, however, for people with...
The rapid and irregular motion of semen cells makes the counting process of semen difficult in the visual assessment. Therefore, computer based techniques are necessary to evaluate the tests with more accurately. In this paper, an alternative way to the visual assessment technique in spermiogram tests is presented. Analyses are performed on the recorded microscope video images by computer, automatically...
This work proposes an obstacle avoidance method based on depth camera for UAV navigation. Firstly, we use a RealSense depth-camera to obtain depth images of the UAV flight environment. Then the image processing board is applied to stratify and segment the depth image and to obtain the orientation and distance information of the obstacle, thus generating the corresponding obstacle avoidance instructions...
Natural disasters such as earthquakes and tsunamis often have a devastating effect on human life and cause noticeable damage to infrastructure. Active research has been ongoing to mitigate the impact of these catastrophes and preclude the economic losses. The existing methods that utilize pre-event and post-event images not only require the immediate and guaranteed availability of the appropriate...
The quality control of cherries harvested in the orchard is a process of great relevance for the Chilean export industry. Nowadays companies carry out this process manually, obtaining a high error rate in the measurements of color and caliber of the fruits. This article seeks to develop a system to automate this process and thus reduce measurement failures. For this, an information system was implemented...
In this paper, we suggest methods of automated screening system for cervical cancer to support cyto-pathologists because there is the lack of number of pathologists. It is important to extract nuclei accurately for the automatic diagnosis supporting system. Cells firstly need to be divided into the blue cells and red ones because cells are dyed in different colors based on type of cell: superficial,...
The article presents an innovative approach to the automatic detection of cells nuclei in FISH microscopic images. The proposed solution is based on L2 distance function which is used in patterns recognition in images. The results of researches show that an efficient identification of cells nuclei in FISH images with the presented method is possible. The numerical results show that the accuracy of...
A generator inspection robot (GIR) is used to visually inspect a megawatt power generator installed in a power plant. Conventionally, the GIR's location inside the power generator is identified by an operator staff, or using encoders attached to the GIR's track. However, one of the failures in localizing the GIR using encoders is due to a slip between the generator's belts and the robot's track. To...
A key issue in fruit export is classification and sorting for marketing. In this work image processing techniques are used to grad Thompson orange fruit. For this purpose, fourteen parameters were extracted, comprising area, eccentricity, perimeter, length/area, blue value, green value, red value, width, contrast, texture, width/area, width/length, roughness, and length. Adaptive neuro fuzzy inference...
Diabetes is a general disease often infected in humans. Many ways to detect diabetes, one of them is checking blood pressure, but this way is not effective, because it takes blood first and take a lot of time. Iridology is one way analysis health based on the iris. Therefore we need a tool used to identify pancreatic damage as an indication of diabetes through iridology. Load image is the first step...
India considers agriculture as it back bone in terms of economy. Every tree originates from seed and saplings are considered to be a small tree. Sapling stage is considered to be sensitive as it is more prone to diseases. Saplings require utmost care for it to have a healthy growth. This project is carried out to implement an Automatic plant health checking vehicle with the help of MATLAB where a...
Microarray analysis is one of the most suitable tools available for scientists concerned with DNA sequences to study and examine gene expression. Through microarray analysis, the gene expression sequence can be obtained and biological information on many diseases can be acquired. The gene expression information contained in the microarray can be extracted using image-processing techniques. Microarray...
Agrochemicals use has grown, from the 1980s onwards, proportionally to the development of agriculture, both in Argentina and worldwide. This growth is more noticeable in the case of herbicides, which present an undeniable benefit in food production, providing larger and more stable production. However, the application of these products in an improper and careless way carries possible toxic risks to...
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