• Corpus ID: 15957379


  author={Sanket C. Rege and Rajendra Memane and Mihir Phatak and Parag Agarwal},
  journal={International Journal of Advanced Research in Electrical, Electronics and Instrumentation Energy},
The paper discusses an approach involving digital image processing and geometric logic for recognition of two dimensional shapes of objects such as squares, circles, rectangles and triangles as well as the color of the object. This approach can be extended to applications like robotic vision and computer intelligence. The methods involved are three dimensional RGB image to two dimensional black and white image conversion, color pixel classification for object-background separation, area based… 
A Fast Interactive Geometric Shape Recognition Method
This paper focuses on a simple, fast and highly accurate procedure for recognizing 2D geometric shapes such as rectangle, trapezium, acute triangle, etc. thereupon providing an interactive platform
Color and Shape Recognition
The object "car" and "cat" can be easily distinguished by humans, but how these labels are assigned? Grouping these images is easy for a person into different categories, but its very tedious for a
Automated Visual Inspection: Position Identification of Object for Industrial Robot Application based on Color and Shape
A system which identifies the object’s position for industrial robot based on colors and shapes where, red, green, blue and circle, square, triangle are recognizable is proposed.
Real Time 2D Shape and Object Recognition: A Child Learning Approach
This work is proposing a method to identify both the geometric shape and object recognition when the child will bring the item nearer to the web camera, which has used SSD and mobilenet to classify some of the common objects.
A proposed Algorithm for Interactive Geometric Shapes Recognition
This algorithm is interactive which means that if not all the desired shapes are recognized then the recognition process is repeated by the user to improve the capability of the process.
Proposed Algorithm For Using GLCM Properties To Distinguishing Geometric Shapes
The results of the practical application of the proposed algorithm show that the three features of homogeneity, energy, and contrast give a topical distinction to the shape, but the correlation property is weak in the distinction of shape.
The proposed shape based image retrieval for 2D vehicle images is concentrated on single object vehicle image for image retrieval and the performance is compared with some of the recently approached similarity metrics such as Manhattan, Euclidian etc.
2D Shape Representation and Analysis Using Edge Histogram and Shape Feature
The major aim of this paper is to find out the shape of the object by comparing with the mathematical formulas and properties of the 2D shapes with different orientation.
A two-dimensional editing system based on hand gestures and real object manipulation using RGB-D sensor
A two-dimensional editing system which compromises the advantages of using hand gestures and real blocks to manipulate virtual objects but achieves high recognition rate and a user study reveals that the system is intuitive and entertaining.
Shape Recognition and Measurement of Position and Orientation of Different Parts Produced within a Manufacturing Process
In a manufacturing process it may be necessary to distinguish the parts of various types produced by different machine-tools and placed on a conveyor. Using an artificial vision system represents a


State of the Art in Shape Matching
A recent user survey about cognition aspects of image retrieval shows that users are more interested in retrieval by shape than by color and texture, and systems such as IBM’s Query By Image Content, QBIC, is relatively successful in retrieving by colors, but performs poorly when searching on shape.
Color image segmentation
  • Yining Deng, B. S. Manjunath, H. Shin
  • Mathematics, Computer Science
    Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)
  • 1999
In this work, a new approach to fully automatic color image segmentation, called JSEG, is presented, where colors in the image are quantized to several representing classes that can be used to differentiate regions in the photo, thus forming a class-map of the image.
Symmetry-Based Indexing of Image Databases
An intermediate approach based on a characterization of the symmetry in edge maps is proposed, which shows promising results of matching sketches and grey-scale images against a small database consisting of a variety of fish, planes, tools, etc.,.
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
  • L. Vincent
  • Mathematics, Medicine
    IEEE Trans. Image Process.
  • 1993
An algorithm that is based on the notion of regional maxima and makes use of breadth-first image scannings implemented using a queue of pixels results in a hybrid gray-scale reconstruction algorithm which is an order of magnitude faster than any previously known algorithm.
An algorithm for associating the features of two images
An algorithm that operates on the distances between features in the two related images and delivers a set of correspondences between them and will recover the feature mappings that result from image translation, expansion or shear deformation even when the displacements of individual features depart slightly from the general trend.
On object background classification
Limitations of some of the existing threshold selection techniques have been discussed. The approximate minimum error thresholding algorithm of Kittler and Illingworth has been modified considering a
Survey over image thresholding techniques and quantitative performance evaluation
40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images, and the thresholding algorithms that perform uniformly better over nonde- structive testing and document image applications are identified.
A threshold selection method from gray level histograms
A nonparametric and unsupervised method ofautomatic threshold selection for picture segmentation is presented. An optimal threshold is selected by the discriminant criterion, namely, so as to
Automatic threshold selection based on histogram modes and a discriminant criterion
A fully automatic thresholding method via histogram modal decomposition by data-dependent-systems methodology is presented, in which the histogram of an image is parametrically modeled by the power spectrum of an autoregressive model to provide vital information about histogram clusters.
Principles of color technology
Second edition of a standard work covering all the major advances in colour applied to the use of colorants in the industrial and creative production of coloured materials. Emphasis has been put on