A brain tumor, defined as an abnormal growth of cells within the brain or the central spinal canal. Brain tumors include all tumors inside the central spinal canal. They are created by an abnormal and uncontrolled cell division, usually in the brain itself, but also inlymphatic tissue, in blood vessels, in the cranial nerves. This damage can cause change in alertness including Dysfunction, Consequences of intracranial hypertension and Irritation. Thus tumor detection needs to be fast enough as the patient cannot recover if the damage is more than 50%. For detecting this tumor CT scan is done. This CT scan images are taken for this project to process it. The CT-scan images are used for the operation purpose to detect the correct area of the brain that is infected. as there occurs the false detection also, the detection is done in the radiology lab by an expert doctor seeing the tumor directly based on his experience thus it can have chances to get the false detection, for this there is no other technique to detect the tumor instead by detecting it manually seeing the CT scan. Using digital image processing this tumor can be find more precisely and fast detection can be done.

Temperature sensitive thermal paints find a wide application in thermal mapping of engine components operating at high temperatures with a major reference to aerospace applications. In a view to increase the operating efficiencies the modern gas turbines are designed to operate at elevated temperatures which are just few degrees below the material withstanding temperature. An accurate thermal mapping technique is required to anticipate the behaviour of the engine component material to avoid failure before completion of the service life. A range of contact and non contact type of sensors are available for thermal mapping of gas turbine components but certain inherent disadvantages of these sensors make them unable to perform satisfactorily in the harsh and aggressive environment of the gas turbine. The literature survey reveals that the thermal paints have the advantages of both the contact and non contact sensors and can be qualified as a better alternative for thermal mapping of gas turbine engines. Thermal paints are identified as effective thermal sensors for thermal mapping of complex gas turbine hot section components compared to conventional thermometry techniques. Thermal paints change their color permanently when exposed to elevated temperatures generating a color pattern with distinguished color profiles with each color representing its formation temperature. Flow of exhaust gases over the thermal painted hot section modules deposit a carbon soot over their surface during testing. The color pattern obtained by heating the components gets distorted due to the soot deposition leading to discrepancies in the thermal paint data interpretation. This article presents the performance of a filter designed to denoise the degraded image of thermal paint color contour making it suitable for further data interpretation automatically.

Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exists a large variety of steganographic techniques some are more complex than others and all of them have respective strong and weak points. Different applications have different requirements of the steganography technique used. For example, some applications may require absolute invisibility of the secret information, while others require a larger secret message to be hidden. This paper intends to give an overview of design and implementation of image steganography,it uses the Microsoft visual studio.net framework as a platform where the coding is written in the c#.net and when debugged the respective output in the form of forms will be created as shown further. its uses LSB techniques to hide the data inside the image. It also attempts to identify the requirements of a good steganographic algorithm and briefly reflects on which steganographic techniques are more useful, this paper is of design and implementation of image steganography will use Microsoft visual studio.net framework for coding and later n using LSB techniques at background for encryption and decryption of message inside the image.

This paper presents an online learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of facial landmarks. Learning is performed online while the subject is imaged and gives near real time feedback on the learning status. Face images are automatically clustered based on the similarity of their local features. The learning process continues until the clusters have a required minimumnumber of faces and the distance of the farthest face from its cluster mean is below a threshold.

Human body motion analysis is an important technology which modem bio-mechanics combines with computer vision and has been widely used in intelligent control, human computer interaction, motion analysis and virtual reality and other fields. In which the moving human body detection is the most important part of the human body motion analysis, the purpose is to detect the moving human body from the background image in video sequences, and for the follow-up treatment such as the target classification, the human body tracking and behavior understanding, its effective detection plays a very important role. According to the result of moving object detection research on video sequences. This paper proposes a new method to detect moving object based on background subtraction. First of all, we establish a reliable background updating model based on statistical and use a dynamic optimization threshold method to obtain a more complete moving object. And then, morphological filtering is introduced to eliminate the noise and solve the background disturbance problem. At last, contour projection analysis is combined with the shape analysis to remove the effect of shadow; the moving human bodies are accurately and reliably detected. The experiment results show that the proposed method runs quickly, accurately and fits for the real-time detection.

Fingerprints are the most widely used biometric feature for person identification and verification in the field of biometric identification. This paper presents the implementation of a minutiae based approach to fingerprint identification and verification. The technique used in this paper is based on the extraction of minutiae from the thinned, binarized and segmented version of a fingerprint image. Minutiae mean ridge endings & ridge bifurcation points of ridges. The results are tested on FVC 2002 database. The results shows that experiments gives approximately 90% accuracy.