Image Processing Projects
Matlab is an efficient simulation tool used for simulation, cryptography, image processing and other recognition based purpose. We offer image processing projects in matlab is based on IEEE or other famous publication papers. We ensure matlab academic projects with real time working knowledge of matlab simulation tool. We compute mathematical computation and matrix calculation is an important element in image processing projects. We offer various image processing projects in matlab for CSE and other communication related department students.
Algorithms Used in Image Processing Projects:
We offer various categories of algorithm in image processing project based on working process. Some of them are given as:
Edge detection method: We define edge as boundary among object and background. We use edge detection algorithm to locate edge pixels. Examples of edge detection are: kirsch edge detector, canny edge detector, sobel edge detector and symmetric exponential filter.
Content base retrieval algorithm: An important process in image processing is feature extraction we need pixel based and object based retrieval method in image processing project to extract histogram, color, texture values and pixels.
Gray level segmentation method: It process gray level or bi-level images. By this algorithm we simplify pattern recognition and classification process. We implement p-lit method, edge pixel method, iterative method, single threshold method are under gray level segmentation category.
Digital morphology: It is a set of mathematical process to group set of pixel to highlight or enhance image shape. Erosion and dilation are basic morphological operation.
Examples of Image Processing Projects:
Automatic segmentation and classification of human intestinal parasites:
We face some problem in image processing projects as image analysis due to facial impurities in image. We adopt genetic program and optimal path forest algorithm for automatic segmentation and classification process in human intestinal parasite disease. We provide eclipse matching method to locate pixel object inside and outside boundary region.
Real time digital signal processor configuration by matlab:
We attained heterogeneous digital signal processor and dynamic reconfiguration in matlab environment. We built granularity of digital signal processing application as video coding, telecommunication, cryptography and image processing for B.Tech students. We use matlab to analyze performance and state of digital signal processing device. We compute capability and energy efficiency in digital signal processing approach simulated in matlab.
Extended kalman filter to detect affine invariant anisotropic region:
We developed more than 80+ projects in bio medical data analyzation process. We provide feature tracing an essential element include extract appearance, salient features, and feature model and search correspondence features from candidate set. We develop water shed based segmentation algorithm by projects development to achieve high accurate and efficient segmentation. We need extended kalman filter to track salient features such as position & velocity in anistroptric region.